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Full Description
With the rapid evolution of cyberspace, computing, communications and sensing technologies, organizations and individuals rely more and more on new applications such as fog and cloud computing, smart cities, Internet of Things (IoT), collaborative computing, and virtual and mixed reality environments. Maintaining their security, trustworthiness and resilience to cyber-attacks has become crucial which requires innovative and creative cyber security and resiliency solutions. Computing algorithms have been developed to mimic the operation of natural processes, phenomena and organisms such as artificial neural networks, swarm intelligence, deep learning systems, biomimicry, and more. The amazing characteristics of these systems offer a plethora of novel methodologies and opportunities to cope with emerging cyber challenges.
This edited book presents a timely review of the fundamentals, latest developments and diverse applications of nature-inspired algorithms in cyber security and resiliency. Topics include bio-inspired collaboration and cyber security; immune-based defense and resiliency; bio-inspired security and resiliency of network traffic; nature inspired machine learning approach for cyber security; nature-inspired algorithms in A.I. for malicious activity detection; DNA-inspired characterization and detection of novel social Twitter spambots; nature-inspired approaches for social network security; bio-inspired cyber-security for smart grid; nature-inspired cryptography and cryptanalysis, and more.
Contents
Chapter 1: Nature-inspired analogies and metaphors for cyber security
Chapter 2: When to turn to nature-inspired solutions for cyber systems
Chapter 3: Bioinspired collaboration and cyber security
Chapter 4: Immune-based defence and resiliency
Chapter 5: Bio-inspired approaches for security and resiliency of network traffic
Chapter 6: Security and resilience for network traffic through nature-inspired approaches
Chapter 7: Towards nature-inspired machine-learning approach for cyber security
Chapter 8: Artificial intelligence and data analytics for encrypted traffic classification on anonymity networks
Chapter 9: Bio/nature-inspired algorithms in A.I. for malicious activity detection
Chapter 10: DNA-inspired characterization and detection of novel social Twitter spambots
Chapter 11: Nature-inspired approaches for social network security
Chapter 12: Software diversity for cyber resilience: percolation theoretic approach
Chapter 13: Hunting bugs with nature-inspired fuzzing
Chapter 14: Bio-inspired cyber-security for the smart grid
Chapter 15: Nature-inspired cryptography and cryptanalysis
Chapter 16: Generation of access-control schemes in computer networks based on genetic algorithms
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