Innovative Smart Methods for Security: Emerging Trends and Research Challenges

Posted on December 24, 2016 in Special Issue
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Innovative Smart Methods for Security: Emerging Trends and Research Challenges

Thu 17 Aug 2017

TOPICS OF INTEREST

Topics include (but are not limited to):

Machine learning for security and privacy
Machine learning for secure big data fusion and decision-making
Machine learning techniques to intrusion detection, prevention, and digital forensics
Machine learning for vulnerability discovery
Machine learning for mobile forensic analysis
Application-specific privacy preserving machine learning and decision theory.
Learning methods with privacy and security guarantees for biomedical, financial, and other critical applications
Forensic data fusion
Data analytics for security and privacy enhancement
Game theoretic security
Semantic security
Formulation and optimization of security cases
Mobile security and privacy
Web security and log analysis
Practical applications of innovative smart security