Network Science and Cybersecurity

Towards Fundamental Science of Cyber Security.- Bridging the Semantic Gap: Human Factors in Anomaly-based Intrusion Detection Systems.- Recognizing Unexplained Behavior in Network Traffic.- Applying Cognitive Memory to CyberSecurity.- Understanding Cyber Warfare.- Design of Neuromorphic Architectures with Memristors.- Nanoelectronics and Hardware Security.- User Classification and Authentication for MOBILE Device Based on Gesture Recognition.- Hardware-based Computational Intelligence for Size, Weight, and Power Con-strained Environments.- Machine Learning Applied to Cyber Operations.- Detecting Kernel Control-flow Modifying Rootkits.- Formation of Artificial and Natural Intelligence in Big Data Environment.- Alert Data Aggregation and Transmission Prioritization over Mobile Networks.- Semantic Features from Web-traffic Streams.- Concurrent Learning Algorithm (CLA) and the Importance Map (IMAP).- Hardware Accelerated Mining of Domain Knowledge.- Memristors and the Future of Cyber Security Hardware.