Shandilya S. Advances in Nature-Inspired Cyber Security...2022

Textbook in PDF format

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 features contributions from leading scholars from all over the world.
Nature-Inspired Cybersecurity 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 and Anomaly Detection in Android-Based Systems
A Review of Nature-Inspired 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