Advances in Nature-Inspired Cyber Security and Resilience / / edited by Shishir Kumar Shandilya, Neal Wagner, V.B. Gupta, Atulya K. Nagar

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (194 pages)
• Disciplina: 006.3; 005.8
• Soggetto topico: Telecommunication; Computational intelligence; Artificial intelligence; Dynamics; Nonlinear theories; Data protection; Communications Engineering, Networks; Computational Intelligence; Artificial Intelligence; Applied Dynamical Systems; Data and Information Security
• Persona (resp. second.): ShandilyaShishir Kumar
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Nature-Inspired Cyber Security and Resilience
• ISBN: 9783030907082; 3030907082
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910568278803321
• Lo trovi qui: Univ. Federico II
• Serie: EAI/Springer Innovations in Communication and Computing, . 2522-8609