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IJISP-SI 2017 : Special Issue in IJISP: Machine learning techniques for Information Security and Data Privacy | |||||||||||
Link: http://www.igi-global.com/calls-for-papers-special/international-journal-information-security-privacy/1096 | |||||||||||
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Call For Papers | |||||||||||
SPECIAL ISSUE ON
Machine learning techniques for Information Security and Data Privacy International Journal of Information Security and Privacy (IJISP) http://www.igi-global.com/calls-for-papers-special/international-journal-information-security-privacy/1096 SUBMISSION DUE DATE: 01 June, 2017 Current technology for information security and data privacy, often does not mature completely because of regular changes in computer, network and the general evolution of information and communication technology (ICT). Many improvements, from different perspectives, should be considered in the technology, so that the challenging nature of the requirements for the current and future computing environments can be accommodated. Till now efficient solutions for information security and data privacy, remains an elusive goal and a big challenge. Promising methodologies and technologies are required for the design and development of effective intelligent solutions. Machine Learning (ML) is a field of Artificial Intelligence (AI) that is concerned with constructing programs/systems that can improve their behavior with experience. Various machine learning techniques can be used for information security and data privacy to lead a secure information system to the extent possible. The focus of the special issue is on high quality research that addresses paradigms, development, applications and implications in the field of machine learning for addressing unique security issues introduced by new computing paradigms. OBJECTIVE OF THE SPECIAL ISSUE: The objective of the special issue is to provide readers with a compilation of stimulating and up-to-date articles within the field of machine learning for information security and data privacy. RECOMMENDED TOPICS: Topics to be discussed in this special issue include (but are not limited to) the following: Anomaly detection Autonomous and adaptive security Big data and digital forensics Biometrics Critical information and infrastructure security Cryptography and cryptanalysis Cloud forensics and security Cyber physical system security Dimensionality reduction Frequent event patterns mining Information assurance Information security audits Intrusion detection and prevention Network security and defense Malware analysis and detection Misuse detection Mobile networks and devices security Security in Software Defined Networks (SDN) Security in social networks Outlier detection Spam filtering Ransomware analysis and detection Rule mining and optimization Recent trends, technologies and applications Security risk analysis, modelling, evaluation and management Trust and privacy Video surveillance SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit papers for this special theme issue on Machine learning techniques for Information Security and Data Privacy on or before June 01, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. All inquiries should be directed to the attention of: Kanubhai K. Patel, Guest Editor Charotar University of Science and Technology, India International Journal of Information Security and Privacy (IJISP) E-mail: kanupatel.mca@charusat.ac.in All manuscript submissions to the special issue should be sent through the online submission system: http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx |
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