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Publisher: Springer-Verlag (Total: 2352 journals)

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Showing 1 - 200 of 2352 Journals sorted alphabetically
3D Research     Hybrid Journal   (Followers: 18, SJR: 0.214, h-index: 10)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 9, SJR: 1.073, h-index: 25)
AAPS J.     Hybrid Journal   (Followers: 20, SJR: 1.192, h-index: 74)
AAPS PharmSciTech     Hybrid Journal   (Followers: 6, SJR: 0.718, h-index: 54)
Abdominal Imaging     Hybrid Journal   (Followers: 14, SJR: 0.723, h-index: 60)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 3, SJR: 0.447, h-index: 12)
Academic Psychiatry     Full-text available via subscription   (Followers: 22, SJR: 0.492, h-index: 32)
Academic Questions     Hybrid Journal   (Followers: 7, SJR: 0.135, h-index: 6)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 26, SJR: 0.378, h-index: 30)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.355, h-index: 20)
Acoustics Australia     Hybrid Journal  
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.387, h-index: 6)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.624, h-index: 34)
Acta Biotheoretica     Hybrid Journal   (Followers: 5, SJR: 0.419, h-index: 25)
Acta Diabetologica     Hybrid Journal   (Followers: 14, SJR: 1.318, h-index: 46)
Acta Endoscopica     Hybrid Journal   (Followers: 1, SJR: 0.113, h-index: 8)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.465, h-index: 23)
Acta Geochimica     Hybrid Journal   (Followers: 5)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 1, SJR: 0.294, h-index: 13)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.818, h-index: 22)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.524, h-index: 32)
Acta Mathematica     Hybrid Journal   (Followers: 11, SJR: 8.021, h-index: 47)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.53, h-index: 29)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 5, SJR: 0.406, h-index: 30)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.451, h-index: 5)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.22, h-index: 20)
Acta Mechanica     Hybrid Journal   (Followers: 20, SJR: 0.898, h-index: 52)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.426, h-index: 29)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5, SJR: 0.525, h-index: 18)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.524, h-index: 14)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.833, h-index: 73)
Acta Neurologica Belgica     Hybrid Journal   (SJR: 0.348, h-index: 27)
Acta Neuropathologica     Hybrid Journal   (Followers: 5, SJR: 6.61, h-index: 117)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.295, h-index: 17)
Acta Parasitologica     Hybrid Journal   (Followers: 9, SJR: 0.581, h-index: 28)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.551, h-index: 39)
Acta Politica     Hybrid Journal   (Followers: 13, SJR: 0.658, h-index: 20)
Activitas Nervosa Superior     Hybrid Journal  
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 5, SJR: 0.103, h-index: 4)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23, SJR: 0.871, h-index: 15)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 8)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 15, SJR: 0.795, h-index: 40)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.774, h-index: 52)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 3, SJR: 0.319, h-index: 15)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 34, SJR: 0.959, h-index: 44)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15, SJR: 1.255, h-index: 44)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52, SJR: 1.113, h-index: 14)
Advances in Gerontology     Partially Free   (Followers: 9, SJR: 0.141, h-index: 3)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 22, SJR: 1.397, h-index: 42)
Advances in Manufacturing     Hybrid Journal   (Followers: 3, SJR: 0.2, h-index: 4)
Advances in Polymer Science     Hybrid Journal   (Followers: 41, SJR: 0.637, h-index: 89)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 0.79, h-index: 44)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 7)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.882, h-index: 23)
Aerobiologia     Hybrid Journal   (Followers: 1, SJR: 0.511, h-index: 36)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 9, SJR: 0.821, h-index: 49)
African Archaeological Review     Hybrid Journal   (Followers: 15, SJR: 0.612, h-index: 24)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.248, h-index: 6)
AGE     Hybrid Journal   (Followers: 7, SJR: 1.358, h-index: 33)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.337, h-index: 10)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.529, h-index: 55)
Agricultural Research     Hybrid Journal   (Followers: 3)
Agriculture and Human Values     Hybrid Journal   (Followers: 12, SJR: 1.197, h-index: 49)
Agroforestry Systems     Hybrid Journal   (Followers: 19, SJR: 0.64, h-index: 56)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 1.732, h-index: 59)
AI & Society     Hybrid Journal   (Followers: 7, SJR: 0.171, h-index: 19)
AIDS and Behavior     Hybrid Journal   (Followers: 13, SJR: 2.006, h-index: 71)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.706, h-index: 19)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 4, SJR: 0.566, h-index: 18)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.388, h-index: 22)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 0.868, h-index: 20)
Algorithmica     Hybrid Journal   (Followers: 8, SJR: 0.898, h-index: 56)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.183, h-index: 20)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 0.729, h-index: 20)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3, SJR: 1.392, h-index: 32)
AMBIO     Hybrid Journal   (Followers: 15, SJR: 1.094, h-index: 87)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 15, SJR: 0.864, h-index: 39)
American J. of Community Psychology     Hybrid Journal   (Followers: 24, SJR: 1.237, h-index: 83)
American J. of Criminal Justice     Hybrid Journal   (Followers: 6, SJR: 0.634, h-index: 13)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 12, SJR: 0.283, h-index: 3)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.175, h-index: 13)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.558, h-index: 35)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 22, SJR: 0.293, h-index: 13)
American Sociologist     Hybrid Journal   (Followers: 14, SJR: 0.18, h-index: 13)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.362, h-index: 83)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.21, h-index: 37)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 3, SJR: 0.665, h-index: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 30, SJR: 1.096, h-index: 123)
Anatomical Science Intl.     Hybrid Journal   (Followers: 2, SJR: 0.301, h-index: 26)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.212, h-index: 69)
Animal Cognition     Hybrid Journal   (Followers: 16, SJR: 1.122, h-index: 55)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.156, h-index: 4)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.377, h-index: 32)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.504, h-index: 14)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.167, h-index: 26)
Annals of Behavioral Medicine     Hybrid Journal   (Followers: 11, SJR: 2.112, h-index: 98)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 18, SJR: 1.182, h-index: 94)
Annals of Combinatorics     Hybrid Journal   (Followers: 3, SJR: 0.849, h-index: 15)
Annals of Data Science     Hybrid Journal   (Followers: 9)
Annals of Dyslexia     Hybrid Journal   (Followers: 9, SJR: 0.857, h-index: 40)
Annals of Finance     Hybrid Journal   (Followers: 28, SJR: 0.686, h-index: 14)
Annals of Forest Science     Hybrid Journal   (Followers: 6, SJR: 0.929, h-index: 57)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.136, h-index: 23)
Annals of Hematology     Hybrid Journal   (Followers: 14, SJR: 1.117, h-index: 62)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6, SJR: 0.593, h-index: 42)
Annals of Microbiology     Hybrid Journal   (Followers: 10, SJR: 0.402, h-index: 26)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 5, SJR: 0.68, h-index: 45)
Annals of Operations Research     Hybrid Journal   (Followers: 8, SJR: 1.186, h-index: 78)
Annals of Ophthalmology     Hybrid Journal   (Followers: 11)
Annals of Regional Science     Hybrid Journal   (Followers: 7, SJR: 0.405, h-index: 42)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 10, SJR: 0.553, h-index: 8)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 15, SJR: 1.902, h-index: 127)
Annals of Telecommunications     Hybrid Journal   (Followers: 7, SJR: 0.315, h-index: 25)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.931, h-index: 31)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.992, h-index: 87)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.14, h-index: 57)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.554, h-index: 87)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.354, h-index: 27)
Applications of Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.274, h-index: 20)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 44, SJR: 0.575, h-index: 80)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 17, SJR: 0.267, h-index: 26)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.361, h-index: 21)
Applied Composite Materials     Hybrid Journal   (Followers: 48, SJR: 0.705, h-index: 35)
Applied Entomology and Zoology     Partially Free   (Followers: 3, SJR: 0.554, h-index: 34)
Applied Geomatics     Hybrid Journal   (Followers: 3, SJR: 0.323, h-index: 9)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.541, h-index: 13)
Applied Intelligence     Hybrid Journal   (Followers: 11, SJR: 0.777, h-index: 43)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.358, h-index: 34)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 4, SJR: 0.955, h-index: 33)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.275, h-index: 8)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.37, h-index: 26)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 62, SJR: 1.262, h-index: 161)
Applied Physics A     Hybrid Journal   (Followers: 7, SJR: 0.535, h-index: 121)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 23, SJR: 0.983, h-index: 104)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.677, h-index: 47)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 11, SJR: 0.288, h-index: 15)
Applied Solar Energy     Hybrid Journal   (Followers: 16, SJR: 0.251, h-index: 6)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4, SJR: 0.351, h-index: 9)
Aquaculture Intl.     Hybrid Journal   (Followers: 22, SJR: 0.613, h-index: 40)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 30, SJR: 0.646, h-index: 44)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.764, h-index: 39)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.172, h-index: 53)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.345, h-index: 20)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 1, SJR: 0.417, h-index: 16)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 22, SJR: 1.056, h-index: 15)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.397, h-index: 13)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.597, h-index: 29)
Archival Science     Hybrid Journal   (Followers: 54, SJR: 0.804, h-index: 22)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 7, SJR: 0.28, h-index: 15)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 1, SJR: 0.946, h-index: 23)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 4.091, h-index: 66)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.865, h-index: 40)
Archives and Museum Informatics     Hybrid Journal   (Followers: 129)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4, SJR: 2.841, h-index: 40)
Archives of Dermatological Research     Hybrid Journal   (Followers: 6, SJR: 0.9, h-index: 65)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 10, SJR: 0.846, h-index: 84)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 17, SJR: 0.695, h-index: 47)
Archives of Microbiology     Hybrid Journal   (Followers: 8, SJR: 0.702, h-index: 85)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.039, h-index: 56)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 1.092, h-index: 13)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 9, SJR: 1.198, h-index: 74)
Archives of Toxicology     Hybrid Journal   (Followers: 16, SJR: 1.595, h-index: 76)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 1.086, h-index: 90)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 14, SJR: 1.264, h-index: 50)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 1.2, h-index: 42)
ArgoSpine News & J.     Hybrid Journal   (SJR: 0.102, h-index: 3)
Argumentation     Hybrid Journal   (Followers: 5, SJR: 0.295, h-index: 18)
Arid Ecosystems     Hybrid Journal   (Followers: 3)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.948, h-index: 22)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.797, h-index: 17)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.145, h-index: 8)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 10, SJR: 0.288, h-index: 25)
Artificial Intelligence Review     Hybrid Journal   (Followers: 14, SJR: 0.948, h-index: 48)
Artificial Life and Robotics     Hybrid Journal   (Followers: 8, SJR: 0.231, h-index: 14)
Asia Europe J.     Hybrid Journal   (Followers: 4, SJR: 0.247, h-index: 9)
Asia Pacific Education Review     Hybrid Journal   (Followers: 10, SJR: 0.371, h-index: 17)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 14, SJR: 1.676, h-index: 50)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 11, SJR: 0.353, h-index: 13)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.19, h-index: 15)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 20, SJR: 1.006, h-index: 14)
Asian Business & Management     Hybrid Journal   (Followers: 7, SJR: 0.41, h-index: 10)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 7)
Asian J. of Criminology     Hybrid Journal   (Followers: 5, SJR: 0.263, h-index: 8)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2, SJR: 0.681, h-index: 15)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.195, h-index: 5)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  

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Journal Cover Annals of Telecommunications
  [SJR: 0.315]   [H-I: 25]   [7 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1958-9395 - ISSN (Online) 0003-4347
   Published by Springer-Verlag Homepage  [2352 journals]
  • Editorial security, privacy, and forensics in the critical infrastructure:
           advances and future directions
    • Authors: B. B. Gupta; Dharma P. Agrawal; Shingo Yamaguchi; Nalin A. G. Arachchilage; Suresh Veluru
      Pages: 513 - 515
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0607-2
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • Preserving patients’ privacy in health scenarios through a
           multicontext-aware system
    • Authors: Alberto Huertas Celdrán; Manuel Gil Pérez; Félix J. García Clemente; Gregorio Martínez Pérez
      Pages: 577 - 587
      Abstract: Abstract The Big Data age is characterized by the explosive increase of data managed by electronic systems. Healthcare Information Management systems are aware of this situation having to adapt services and procedures. This, along with the fact that the proliferation of mobile devices and communications has also promoted the use of context-aware services ubiquitously accessible, means that protecting the privacy of the patients’ information is an even greater challenge. To address this issue, a mechanism that allows patients to manage and control their private information is required. We propose the preservation of patients’ privacy in a health scenario through a multicontext-aware system called h-MAS (health-related multicontext-aware system). h-MAS is a privacy-preserving and context-aware solution for health scenarios with the aim of managing the privacy of the users’ information in both intra- and inter-context scenarios. In a health scenario, h-MAS suggests a pool of privacy policies to users, who are aware of the health context in which they are located. Users can update the policies according to their interests. These policies protect the privacy of the users’ health records, locations, as well as context-aware information being accessed by third parties without their consent. The information on patients and the health context is managed through semantic web techniques, which provide a common infrastructure that makes it possible to represent, process, and share information between independent systems more easily.
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0582-7
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • Universal half-blind quantum computation
    • Authors: Xiaoqing Tan; Xu Zhou
      Pages: 589 - 595
      Abstract: Abstract We devise a simple protocol. A client delegates his or her quantum computation to a remote server in accordance with the inputs and instructions. Alice, the client, has a classical computer or limited quantum technologies, and these are not sufficient for the universal quantum computation at her disposal. Bob, the server, owns a fully-fledged quantum computer and promises to execute the computation honestly. The protocol itself is half-blind, that is, Bob may learn which quantum gate he implements but nothing about Alice’s inputs and outputs. Furthermore, Alice is only required to send qubits and perform Pauli gates. Finally, we analyze the security, universality, half-blindness and correctness, and briefly discuss its defects, extension and verification.
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0561-z
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • Horizon: a QoS management framework for SDN-based data center networks
    • Authors: Junjie Pang; Gaochao Xu; Xiaodong Fu; Kuo Zhao
      Pages: 597 - 605
      Abstract: Abstract Data center networks (DCNs), which serve as the infrastructural backbone of big data, have been receiving increasing attention recently. To improve the service quality of data centers, researchers have been working on congestion control, network monitoring, and performance optimization. However, most such works focus on user-centric service quality, which means that the quality of network service itself is not factored into the quality of service (QoS) problem. In this study, we illustrate the problem of data center operations and management as a new type of QoS that is the foundation of user-centric QoS implementation. Inspired by traditional works on network performance optimization, we define the quality of network service in a software-defined networking (SDN)-based DCN and develop a framework called Horizon as the architecture of our QoS solution. This framework comprises a Markov-process-based method to predict link popularity, and we use SDN technology to monitor network status. We implement the proposed method, and the experimental results indicate that Horizon can relieve congestion in DCNs to meet QoS requirements. The experimental results show that our approach has a similar performance to the optimal solution. When compared with the ECMP approach, our approach has a much lower latency. The results also show that the proposed approach is effective in terms of network congestion control.
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0579-2
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • An android malware dynamic detection method based on service call
           co-occurrence matrices
    • Authors: Chundong Wang; Zhiyuan Li; Xiuliang Mo; Hong Yang; Yi Zhao
      Pages: 607 - 615
      Abstract: Abstract With the market share of Android mobile devices increasing, Android has come to dominate the smartphone operating system market. It also draws the attention of malware authors and researchers. The number of Android malicious applications is constantly increasing. However, due to the limitations of static detection in code obfuscation and dynamic loading, the current research of Android malicious code detection needs to be deeply studied in dynamic detection. In this paper, a new Android malware identification method is proposed. This method extracts the feature of Android system service call sequences by using a co-occurrence matrix and uses machine-learning algorithm to classify the feature sequence and to verify whether this feature sequence can expose Android malware behaviors or not. By using 750 malware samples and 1000 benign samples, this paper has designed an experiment to evaluate this method. The results show that this method has a high detection precision rate (97.1%) in the best case and a low false-positive rate (2.1%) in the worst case based on the system service call co-occurrence matrix.
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0580-9
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • Multi-user searchable encryption with a designated server
    • Authors: Zhen Li; Minghao Zhao; Han Jiang; Qiuliang Xu
      Pages: 617 - 629
      Abstract: Abstract Multi-user searchable encryption (MSE) enables authorized users to search over encrypted documents in the cloud. Generally, security problems in existing MSE schemes are solved as follows: (1) transmitting authority values and search tokens through secure channels to resist keyword guessing attack; (2) involving a trusted third party (TTP) to manage users and (3) relying on online users to distribute the decryption keys. However, these methods result in extra overhead and heavily restrict the scalability of the systems. In this paper, we propose a secure channel-free and TTP-free MSE scheme. It is secure against keyword guessing attack by introducing a designated server. And it achieves fine-grained access control to grant and revoke the privileges of users without TTP. More specifically, each document is encrypted with a unique and independent key, where the key distribution is integrated with user authorization and search procedures. We provide a concrete construction of the scheme and give formal proofs of its security in the random oracle model.
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0571-x
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • An improved tracking algorithm of floc based on compressed sensing and
           particle filter
    • Authors: Xin Xie; Huiping Li; Fengping Hu; Mingye Xie; Nan Jiang; Huandong Xiong
      Pages: 631 - 637
      Abstract: Abstract In order to solve the problem of tracking flocs during complex flocculating process, we propose an improved algorithm combining particle filter (PF) with compressed sensing (CS). The feature of flocs image is extracted via CS theory, which is used to detect the single-frame image and get the detection value. Simultaneously, the optimal estimation of particle in the space model of non-linear and non-Gaussian state is obtained by PF. Then, we correlate the optimal estimate with the detected value to determine the trajectory of each particle and to achieve flock tracking. Experimental results demonstrate that this improved algorithm realizes the real-time tracking of flocs and calculation of sedimentation velocity. In addition, it eliminates the shortcomings of heavy computation and low efficiency in the process of extracting image features , and thus guarantees the accuracy and efficiency of tracking flocs.
      PubDate: 2017-10-01
      DOI: 10.1007/s12243-017-0572-9
      Issue No: Vol. 72, No. 9-10 (2017)
       
  • Matrix differentiation for capacity region of Gaussian multiple access
           channels under weighted total power constraint
    • Authors: Zhao-Xu Yang; Guang-She Zhao; Guoqi Li; Hai-Jun Rong
      Abstract: Abstract Maximization the capacity region of Gaussian multiple access channels with vector inputs and vector outputs has been extensively studied in existing schemes. Although these schemes are proven effective in various real-life applications, they are inapplicable to deal with channels with matrix variables subjected to certain constraints. In this work, we present a new framework to estimate the capacity region of Gaussian multiple access channels with matrix inputs and outputs under weighted total power constraints. We propose an optimization model to address this issue and prove its concavity. By introducing an I-chain rule for matrix differentiation, the gradient of the objective function involving matrix variables can be obtained. An algorithm, named normalized projected gradient method (NPGM) is developed to find the global optimal solution for the proposed model. The convergence of NPGM is established by utilizing projection and normalization operators. Simulation results provide an interesting insight that NPGM can manage the existent situations within an unified framework, and provide a novel universal technical solution to optimize the capacity region under weighted total power constraints.
      PubDate: 2017-10-11
      DOI: 10.1007/s12243-017-0610-7
       
  • A dynamic harmony search-based fuzzy clustering protocol for
           energy-efficient wireless sensor networks
    • Authors: Osama Moh’d Alia
      Abstract: Abstract In the development of cluster-based energy-efficient protocols for wireless sensor networks (WSNs), a particularly challenging problem is the dynamic organization of sensors into a wireless communication network and the routing of sensed information from the field sensors to a remote base station (BS) in a manner that prolongs the lifetime of WSNs. This paper presents a new energy-efficient clustering protocol for WSNs, which can minimize total network energy dissipation while maximizing network lifetime. The protocol is divided into two parts. The first deals with constructing an infrastructure for the given WSN. A newly developed algorithm, based on a harmony search (HS), automatically determines the optimal number of clusters and allocates sensors into these clusters. This algorithm also eliminates the need to set the number of clusters a priori. The second part is concerned with the process of sending sensed data from nodes to their cluster head and then to the BS. A decentralized fuzzy clustering algorithm is proposed, where the selection of cluster heads in each round is locally made in each cluster during the network lifetime. Simulation results demonstrate that the proposed protocol can achieve an optimal number of clusters, prolong the network lifetime and increase the data delivery at the BS, when compared to other well-known clustering-based routing protocols.
      PubDate: 2017-10-10
      DOI: 10.1007/s12243-017-0611-6
       
  • Raptor : a network tool for mitigating the impact of spatially correlated
           failures in infrastructure networks
    • Abstract: Abstract Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to geographic regions). Network operators require new tools to mitigate the impact of such region-based faults on their infrastructures. Utilizing the support from the U.S. Department of Defense, and by consolidating a wide range of theories and solutions developed in the last few years, the authors of this paper have developed Raptor, an advanced Network Planning and Management Tool that facilitates the design and provisioning of robust and resilient networks. The tool provides multi-faceted network design, evaluation, and simulation capabilities for network planners. Future extensions of the tool currently being worked upon not only expand the tool’s capabilities, but also extend these capabilities to heterogeneous interdependent networks such as communication, power, water, and satellite networks.
      PubDate: 2017-09-09
      DOI: 10.1007/s12243-017-0609-0
       
  • Cryptanalysis and improvement of certificateless proxy signcryption scheme
           for e-prescription system in mobile cloud computing
    • Authors: Tarunpreet Bhatia; A. K. Verma
      Abstract: Abstract Certificateless proxy signcryption (CLPSc) is one of the most efficient security primitives for secure data transmission. The entrustment of signing rights to a proxy signcrypter at the behest of an original signcrypter imparts its utility in various fields such as an online proxy auction, healthcare industry, cloud computing, mobile-agents, ubiquitous computing, etc. Unlike the traditional sign-then-encrypt approach, signcryption primitive saves computational costs and bandwidth load. Recently, a pairing-free CLPSc scheme has been proposed which claims to be secure against forgery under adaptive chosen-message attacks. This paper unveils that the aforementioned scheme has failed to provide unforgeability. As an improvement of their scheme, a novel pairing-free certificateless proxy signcryption scheme using elliptic curve cryptography (ECC) has been proposed for e-prescription system in mobile cloud computing. The proposed scheme is proven to be secure against indistinguishability under adaptive chosen-ciphertext attack and existential forgery under adaptive chosen-message attack in the random oracle model against Type 1 and Type 2 adversaries through formal analysis. The proposed scheme outperforms the existing schemes in terms of computational efficiency making it suitable for futuristic mobile cloud computing applications.
      PubDate: 2017-09-06
      DOI: 10.1007/s12243-017-0595-2
       
  • A survey on smart power grid: frameworks, tools, security issues, and
           solutions
    • Authors: B. B. Gupta; Tafseer Akhtar
      Abstract: Abstract Smart power grid is referred to as the next revolutionary innovation in electric power generation, transmission, and distribution technology. Smart grids are an example of cyber physical system (CPS) and an extremely critical infrastructure. The smart grids are expected to be more secure and must have the ability of self-healing and recovery. Smart power grids are also one of the major targets for different kinds of cyber attacks, as they are now an open system network, according to the model architecture of smart power grid. This paper presents a comprehensive survey on understanding the smart power grid, its important components, different cyber security and other kinds of issues, existing methodologies and approaches for communication protocols, and architecture of smart power grids. We conclude our paper by discussing various research challenges that still exist in the literature, which provides a better understanding of the problem, the current solution space, and future research directions to defend smart power against different cyber attacks.
      PubDate: 2017-09-01
      DOI: 10.1007/s12243-017-0605-4
       
  • Mitigating incast-TCP congestion in data centers with SDN
    • Authors: Ahmed M. Abdelmoniem; Brahim Bensaou; Amuda James Abu
      Abstract: Abstract In data center networks (DCNs), the presence of long-lived TCP flows tends to bloat the switch buffers. As a consequence, short-lived TCP-incast traffic suffers repeated losses that often lead to loss recovery via timeout. Because the minimum retransmission timeout (minRTO) in most TCP implementations is fixed to around 200 ms, interactive applications that often generate short-lived incast traffic tend to suffer unnecessarily long delays waiting for the timeout to elapse. The best and most direct solution to such problem would be to customize the minRTO to match DCNs delays; however, this is not always possible; in particular in public data centers where multiple tenants, with various versions of TCP, co-exist. In this paper, we propose to achieve the same result by using techniques and technologies that are already available in most commodity switches and data centers and that do not interfere with the tenant’s virtual machines or TCP protocol. In this approach, we rely on the programmable nature of SDN switches and design a SDN-based incast congestion control (SICC) framework, that uses a SDN network application in the controller and a shim-layer in the host hypervisor, to mitigate incast congestion. We demonstrate the performance gains of the proposed scheme via real deployment in a small-scale testbed as well as ns2 simulation experiments in networks of various sizes and settings.
      PubDate: 2017-08-30
      DOI: 10.1007/s12243-017-0608-1
       
  • Secure communication via an energy-harvesting untrusted relay with
           imperfect CSI
    • Authors: Van Phu Tuan; Hyung Yun Kong
      Abstract: Abstract This paper studies the secure communication of an energy-harvesting system in which a source communicates with a destination via an amplify-and-forward (AF) untrusted relay. The relay uses the power-splitting policy to harvest energy from wireless signals. The source is equipped with multiple antennas and uses transmit antenna selection (TAS) and maximum ratio transmission (MRT) to enhance the harvested energy at the relay; for performance comparison, random antenna selection (RAS) is examined. The relay and destination are single-antenna nodes. To create a positive secrecy capacity, destination-assisted jamming is deployed. Because the use of multiple antennas can cause the imperfect channel state information (CSI), the channel between the source and the relay is examined in two cases: perfect CSI and imperfect CSI. To evaluate the secrecy performance, analytical expressions for the secrecy outage probability (SOP) and the average secrecy capacity (ASC) for the TAS, MRT, and RAS schemes are derived. Moreover, a high-power approximation for the SOP is presented. The accuracy of the analytical results is verified by Monte Carlo simulations. The results show the benefit of using multiple antennas in improving the secrecy performance. Specifically, MRT performs better than TAS, and both of them outperform RAS. Moreover, the results provide valuable insight into the effects of various system parameters, such as the channel correlation coefficient, energy-harvesting efficiency, secrecy rate threshold, power-splitting ratio, transmit powers, and locations of the relay, on the secrecy performance.
      PubDate: 2017-08-29
      DOI: 10.1007/s12243-017-0604-5
       
  • Erasure correction-based CSMA/CA
    • Authors: Patrick Tortelier; Didier Le Ruyet
      Abstract: Abstract It is well known that the performance of carrier sense multiple access with collision avoidance (CSMA/CA) is poor when the number of users increases, because of collisions. In this paper, we consider a modified version of CSMA/CA based on erasure codes at the packet level, which significantly reduces the complexity of the decoding and does not require any change in the underlying physical layer. In order to improve the performance, we use non-binary maximum distance separable (MDS) codes. We give analytical derivation of the global goodput and show that there is a trade-off between the code parameters and the length of the contention window in order to maximize the global goodput for a given number of users.
      PubDate: 2017-08-25
      DOI: 10.1007/s12243-017-0606-3
       
  • Relay selection in two-way full-duplex relay networks over Nakagami- m
           fading channels
    • Authors: Asil Koç; İbrahim Altunbaş; Abbas Yongaçoğlu
      Abstract: Abstract We analyze the outage performance of relay selection in two-way full-duplex amplify-and-forward cooperative systems in the presence of residual loop-interference (LI) over Nakagami-m fading channels. In the proposed system, a relay node is selected according to max-min policy and the physical-layer-network-coding technique is applied for two-way transmission. By using end-to-end signal-to-interference-plus-noise-ratio, a new exact outage probability expression is derived in a single-integral form. The numerical and Monte-Carlo simulation results verify the analysis. Moreover, lower-bound and asymptotic expressions for the outage probability are obtained in closed-form. The numerical results reveal that the max-min selection policy provides a significant performance improvement for two-way full-duplex relaying. We observe that the outage performance can be enhanced as long as either the number of relay nodes, the transmit power, or the efficiency of the LI cancellation process increases.
      PubDate: 2017-08-24
      DOI: 10.1007/s12243-017-0603-6
       
  • Towards a set aggregation-based data integrity scheme for smart grids
    • Authors: Mouzna Tahir; Abid Khan; Abdul Hameed; Masoom Alam; Muhammad Khurram Khan; Farhana Jabeen
      Abstract: Abstract Data aggregation (DA) is the process of combining smart metering data so that it can be sent to a control center in package form rather than as individual data points. Smart metering data represents sensitive information that must be protected during the aggregation process. Traditional data aggregation schemes have addressed privacy issues based primarily on computationally expensive homomorphic encryption. In contrast, this paper presents a novel method based on hash chaining to verify the integrity of a set of aggregated data. This scheme divides the user’s data into two diverse groups. It also enables the control center to collect more fine-grained data aggregation results at a reduced cost. In addition, the proposed scheme ensures data integrity by maintaining a hash chain and assigning new values in the hash chain by XORing previous hash values with the current hash value. The proposed scheme is evaluated in terms of computational cost and communication overhead. A comparative analysis of our proposed methodology with existing aggregation schemes regarding computational cost and communication overhead illustrates the optimality of our proposed scheme.
      PubDate: 2017-08-16
      DOI: 10.1007/s12243-017-0602-7
       
  • Leveraging node gatherings to save cellular resources
    • Authors: Salah-Eddine Belouanas; Mehdi Bezahaf; Kim-Loan Thai; Prométhée Spathis; Marcelo Dias de Amorim
      Abstract: Abstract Cellular resources are expensive and should be saved whenever possible. In this paper, we propose Scheduled Content Delivery (SCoD), a resource-saving strategy that draws on the mobility of users to reduce the number of cellular transmissions. The idea is to postpone a transmission in order to maximize its benefits in terms of users located in the same cell. We exploit the delay tolerance of certain types of content combined with the natural tendency of users to get together in the same locations. By relying on multicast communications, we can then reduce the number of transmissions required to satisfy all requesting users. SCoD relies on previous observations to determine, in an adaptive way, the number of users that should trigger a multicast transmission in a cell. We evaluate SCoD and compare it against other strategies by running trace-driven simulations based on real-world mobility datasets. We also compare SCoD with an Oracle, which gives the best case but is unfeasible as it relies on the knowledge of future displacements of nodes. The results show that SCoD covers 100% of the users while consuming almost as few resources as the Oracle.
      PubDate: 2017-08-14
      DOI: 10.1007/s12243-017-0600-9
       
  • Improving spectrum efficiency in self-organized femtocells using learning
           automata and fractional frequency reuse
    • Authors: Maryam Nasr-Esfahani; Behrouz Shahgholi Ghahfarokhi
      Abstract: Abstract Deploying heterogeneous networks (HetNets) and especially femtocell technology improves indoor cell coverage and network capacity. However, since users install femtocells which usually reuse the same frequency band as macrocells, interference management is considered a main challenge. Recently, fractional frequency reuse (FFR) has been considered as a way to mitigate the interference in traditional as well as heterogeneous cellular networks. In conventional FFR methods, radio resources are allocated to macrocell/femtocell users only according to their region of presence ignoring the density of users in defined areas inside a cell. However, regarding the unpredictability of cellular traffic, especially on the femtocell level, smart methods are needed to allocate radio resources to the femtocells not only based on FFR rules, but also traffic load. In order to solve this problem, new distributed resource allocation methods are proposed which are based on learning automata (LA) and consider two levels of resource granularity (subband and mini-subband). Using the proposed methods, femto access points learn to choose appropriate subband and mini-subbands autonomously, regarding their resource requirements and the feedback of their users. The goal of the proposed methods is reduction of interference and improvement of spectral efficiency. Simulation results demonstrate higher spectral efficiency and lower outage probability compared to traditional methods in both fixed and dynamic network environments.
      PubDate: 2017-08-13
      DOI: 10.1007/s12243-017-0596-1
       
  • Assignment and collaborative execution of tasks on transient clouds
    • Authors: Mina Guiguis; Qijun Gu; Terry Penner; Lavanya Tammineni; Thomas Langford; Agustin Rivera-Longoria; Alison Johnson; Brandon Van Slyke
      Abstract: Abstract Transient clouds (TC) are temporal clouds that enable nearby mobile devices to form an ad hoc network and advertise their capabilities as cloud services. Through utilizing the collective power of the group, devices are no longer constrained by their local hardware and software capabilities. TC harness the ubiquitous nature of mobile devices along with their ever-increasing sets of capabilities in providing a rich computing platform. In this paper, we present two instantiations of task assignment algorithms that achieve various goals such as balancing the load on devices and minimizing the cost of communication. In the first instantiation, we consider a centralized approach in which a cluster head is responsible for maintaining the list of capabilities and assigning tasks to devices based on their capabilities. We present a modified version of the Hungarian method that allows for balancing the load on devices. In the second instantiation, we consider a distributed approach in which devices advertise and find capabilities through an overlay network. The overlay is designed to capitalize on locality and thus seeks to minimize the cost in finding devices with certain capabilities. We evaluate the performance of our TC through extensive simulation experiments complemented by a realistic implementation on a set of devices.
      PubDate: 2017-08-07
      DOI: 10.1007/s12243-017-0601-8
       
 
 
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