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      1. Data och IT
      2. IT-säkerhet

      Nature-Inspired Cyber Security and Resiliency

      Fundamentals, techniques and applications

      AvEl-Sayed M, El-Alfy,El-Sayed M. El-Alfy

      Inbunden, Engelska, 2019

      Del i serien Security

      1 884 kr

      Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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.

      Produktinformation

      • Utgivningsdatum:2019-06-04
      • Mått:156 x 234 x 30 mm
      • Vikt:816 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Security
      • Antal sidor:480
      • Förlag:Institution of Engineering and Technology
      • ISBN:9781785616389

      Utforska kategorier

      • IT-säkerhet inom Data och IT

      Mer om författaren

      El-Sayed M. El-Alfy is a Professor at the College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He has served on the editorial boards of a number of international journals including IEEE Transactions on Neural Networks and Learning Systems, International Journal on Trust Management in Computing and Communications, and Journal of Emerging Technologies in Web Intelligence.Mohamed Eltoweissy is Department Head and Professor of Computer and Information Sciences at The Virginia Military Institute, USA. He is also affiliated Professor with The Bradley Department of Electrical and Computer Engineering at Virginia Tech.Errin W. Fulp is a Professor of Computer Science and Head of the Network Security Group at Wake Forest University, USA. He is an associate editor for the Telecommunications Journal.Wojciech Mazurczyk is Associate Professor at the Cybersecurity Division and Head of the Bio-inspired Security Research Group (BSRG) at the Institute of Telecommunications (IT), Faculty of Electronics and Information Technology, Warsaw University of Technology (WUT), Poland. Since 2016 he has been Editor-in-Chief of Journal of Cyber Security and Mobility.

      Innehållsförteckning

      • Chapter 1: Nature-inspired analogies and metaphors for cyber securityChapter 2: When to turn to nature-inspired solutions for cyber systemsChapter 3: Bioinspired collaboration and cyber securityChapter 4: Immune-based defence and resiliencyChapter 5: Bio-inspired approaches for security and resiliency of network trafficChapter 6: Security and resilience for network traffic through nature-inspired approachesChapter 7: Towards nature-inspired machine-learning approach for cyber securityChapter 8: Artificial intelligence and data analytics for encrypted traffic classification on anonymity networksChapter 9: Bio/nature-inspired algorithms in A.I. for malicious activity detectionChapter 10: DNA-inspired characterization and detection of novel social Twitter spambotsChapter 11: Nature-inspired approaches for social network securityChapter 12: Software diversity for cyber resilience: percolation theoretic approachChapter 13: Hunting bugs with nature-inspired fuzzingChapter 14: Bio-inspired cyber-security for the smart gridChapter 15: Nature-inspired cryptography and cryptanalysisChapter 16: Generation of access-control schemes in computer networks based on genetic algorithms
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