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.
