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Shandilya / Nagar / Wagner

Advances in Nature-Inspired Cyber Security and Resilience

Medium: Buch
ISBN: 978-3-030-90707-5
Verlag: Springer International Publishing
Erscheinungstermin: 27.04.2022
Lieferfrist: bis zu 10 Tage

This book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book featurescontributions from leading scholars from all over the world.


Produkteigenschaften


  • Artikelnummer: 9783030907075
  • Medium: Buch
  • ISBN: 978-3-030-90707-5
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 27.04.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: EAI/Springer Innovations in Communication and Computing
  • Produktform: Gebunden
  • Gewicht: 471 g
  • Seiten: 187
  • Format (B x H x T): 160 x 241 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Nature-inspired Cyber Security and Resilience: An Overview.- Detection of Reconnaissance Attacks on IoT Devices Using Deep Neural Networks.- Particle Swarm Optimization driven DSE based Low Cost Hardware Security for Securing DSP IP Cores.- Malicious Activity Detection in IoT Networks: A Nature-Inspired Approach.- Nature-inspired malware & anomaly detection in android-based systems.- A Review of Artificial Intelligence and Machine Learning Methods for Cybersecurity Applications.- A Nature Inspired DNA Encoding Technique for Quantum Session Key Exchange Protocol.- Novel Hybridized Crow Optimization for Secure Data Transmission in Cyber Networks.- Malware attacks: Dimensions, Impact, and Defenses.