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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
* 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
* 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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