TY  - BOOK
AU  - Shandilya,Shishir Kumar
AU  - Wagner,Neal
AU  - Gupta,V.B.
AU  - Nagar,Atulya K.
ED  - SpringerLink (Online service)
TI  - Advances in Nature-Inspired Cyber Security and Resilience
T2  - EAI/Springer Innovations in Communication and Computing,
SN  - 9783030907082
AV  - QA76.9.A25 
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Telecommunication
KW  - Computational intelligence
KW  - Artificial intelligence
KW  - Dynamics
KW  - Nonlinear theories
KW  - Data protection
KW  - Communications Engineering, Networks
KW  - Computational Intelligence
KW  - Artificial Intelligence
KW  - Applied Dynamical Systems
KW  - Data and Information Security
KW  - Computer security
KW  - Natural computation
N1  - 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
N2  - 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. Presents a comprehensive reference for innovative research in the field of cyber security and resilience with a nature-inspired focus; Presents research in artificial intelligence, machine learning, soft computing, and nature-inspired computing that can advance real-time cyber security applications; Relevant to industry professionals and researchers in cyber-security
UR  - https://doi.org/10.1007/978-3-030-90708-2
ER  -