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Advances in nature-inspired cyber se...

Shandilya, Shishir K.

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Advances in nature-inspired cyber security and resilience

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in nature-inspired cyber security and resilience/ edited by Shishir Kumar Shandilya ... [et al.].
other author:	Shandilya, Shishir K.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xii, 187 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computer security. -
Online resource:	https://doi.org/10.1007/978-3-030-90708-2
ISBN:	9783030907082

Advances in nature-inspired cyber security and resilience
Advances in nature-inspired cyber security and resilience[electronic resource] /edited by Shishir Kumar Shandilya ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 187 p. :ill. (some col.), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

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.

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.

ISBN: 9783030907082

Standard No.: 10.1007/978-3-030-90708-2doiSubjects--Topical Terms:

540555
Computer security.

LC Class. No.: QA76.9.A25 / A38 2022

Dewey Class. No.: 005.8

Advances in nature-inspired cyber security and resilience
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245 0 0 $a Advances in nature-inspired cyber security and resilience $h [electronic resource] / $c edited by Shishir Kumar Shandilya ... [et al.].
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300 $a xii, 187 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a 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.
520 $a 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.
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