This is a timely review of the fundamentals, the latest developments and the diverse applications of nature-inspired algorithms in cyber security and resiliency. Based on concepts from natural processes, phenomena and organisms, it presents novel methodologies to cope with cyber security challenges.

• 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