Next-Generation Cybersecurity
Springer Nature (Verlag)
978-981-97-1248-9 (ISBN)
This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth
examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration
of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.
Keshav Kaushik is an experienced educator with around ten years of teaching and research experience in cybersecurity, digital forensics, and the Internet of Things. He is working as an assistant professor (senior scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published more than 100 research papers in international journals and has presented at reputed international conferences. He is a Certified Ethical Hacker (CEH) v11, CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst. He acted as a keynote speaker and delivered 50+ professional talks on various national and international platforms. He has edited over twenty books with reputed international publishers like Springer, Taylor & Francis, IGI Global, Bentham Science, etc. He has chaired various special sessions at international conferences and also served as a reviewer in peer-reviewed journals and conferences. Currently, he is also serving as Vice Chairperson of the Meerut ACM Professional Chapter and is also a brand ambassador for Bentham Science. Moreover, he is also serving as a guest editor in the IEEE Journal of Biomedical and Health Informatics (J-BHI) (IF:7.7). Dr. Ishu Sharma is currently working as Assistant Professor with Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab. She has more than 14 years of experience in Academics and Management. Her research area includes Cybersecurity, Blockchain, Wireless Ad hoc Network, Wireless Sensor Network and Artificial Intelligence. She completed PhD in Computer Science and Engineering from Chitkara University, Punjab. She received a silver medal in Master of Engineering. She cleared examination for Associate Member of Institution of Engineer’s in the minimum duration. She was state level topper in Diploma from State Board of Technical Education, Haryana. She is associated with multiple EdTech Platforms and invited as Guest Faculty in IIT Kanpur for e- Masters Course in Blockchain. She has published 40+ patents and 80+ Scopus-indexed research papers in various international journals and conferences. She has been invited as an Expert for Cybersecurity tool for various FDP and Guest Lectures in academic institutions and industries. She is guiding multiple PhD and MTech research scholars in the area of Cybersecurity and Blockchain.
Introduction to Cybersecurity with AI, ML, and Blockchain.- Opportunities and Challenges in New Generation Cyber Security Applications using Artificial Intelligence, Machine Learning and Block Chain.- AI and Blockchain for Secure Data Analytics.- Synergizing Artificial Intelligence and Blockchain.- Blockchain-Based Smart Contracts: Technical and Usage Aspects.- An Impact of Cyber Security and Blockchain in Healthcare Industry: an implementation through AI.- Deep Learning and Blockchain Applications in Healthcare Sector using Imaging Data.- Healthcare Data Security using AI and Blockchain: Safeguarding Sensitive Information for a Safer Society.- The Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration.- Impact of Neural Network on Malware Detection.- Evaluating different malware detection neural network architectures.- Protecting Your Assets: Effective Use of Cybersecurity Measures in Banking Industries.- Revolutionizing Banking with Blockchain:Opportunities and Challenges Ahead.- Leveraging AI and Blockchain for Enhanced IoT Cybersecurity.- Dissecting the Role of Women in Cybersecurity and Information Technology: A Medical Perspective.- A Comprehensive Exploration of Advancements and Applications of Digital Watermarking.- Optimizing Drug Discovery: Molecular Docking with Glow-worm Swarm Optimization.- Bridging the Gap Between Learning and Security: An Investigation of Blended Learning Systems and Ransomware Detection.- Ethical Considerations in AI-based Cybersecurity.
| Erscheinungsdatum | 22.08.2024 |
|---|---|
| Reihe/Serie | Blockchain Technologies |
| Zusatzinfo | 65 Illustrations, color; 31 Illustrations, black and white; XII, 470 p. 96 illus., 65 illus. in color. |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Kryptologie | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften ► Physik / Astronomie | |
| Technik ► Bauwesen | |
| Schlagworte | AI-based Cybersecurity • Blockchain-Based Cybersecurity • Blockchain in Cloud Computing • Blockchain in IoT • cyber threat • malware detection • Network Security • Neural networks • secure data management • Secure Identity Management |
| ISBN-10 | 981-97-1248-3 / 9819712483 |
| ISBN-13 | 978-981-97-1248-9 / 9789819712489 |
| Zustand | Neuware |
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