Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications
Series: River Publishers Series in Digital Security and Forensics;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher River Publishers
- Date of Publication 28 April 2025
- ISBN 9788770042260
- Binding Hardback
- No. of pages360 pages
- Size 234x156 mm
- Weight 830 g
- Language English
- Illustrations 5 Illustrations, black & white; 86 Illustrations, color 657
Categories
Short description:
This book thoroughly explores cybersecurity principles, strategies, and technologies crucial for protecting digital assets and combating evolving cyber threats in critical industries and provides indispensable guidance in fortifying cyber defenses for critical infrastructures.
MoreLong description:
Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications thoroughly explores cybersecurity principles, strategies, and technologies crucial for protecting digital assets and combating evolving cyber threats in critical industries. This book provides indispensable guidance in fortifying cyber defenses for critical infrastructures. Each chapter offers invaluable insights into proactive defense measures, from AI-driven threat management in healthcare systems to practical applications of AI for cyber risk management in critical infrastructures. Unraveling the complexities of contemporary cyber threats, this book empowers readers with the knowledge and tools needed to navigate the intricate landscape of cybersecurity effectively. Through a multidisciplinary approach spanning AI, machine learning, and advanced technologies, it addresses the urgent challenges organizations encounter in securing their digital infrastructure and safeguarding sensitive data from malicious cyber-attacks.
Technical topics discussed in the book include:
- AI-driven strategies for advanced malware detection and prevention
- Hybrid deep learning techniques for precise malware classification
- Machine learning applications tailored to IoT security challenges
- Comprehensive exploration of blockchain techniques enhancing IoT security and privacy
- Practical integration of security analysis modules for proactive threat intelligence.
Designed as an essential reference, this book caters to students, researchers, cybersecurity professionals, and individuals keen on comprehending and tackling contemporary cyber defense and risk assessment challenges. It serves as a valuable resource for enhancing cybersecurity awareness, knowledge, and practical skills in critical industries.
MoreTable of Contents:
Part I: Intelligent Cybersecurity and Resilience: Challenges and Applications 1. AI-Driven Threat Management in Healthcare Systems 2. Practical Use of AI for Cyber Risk Management in Critical Infrastructures: A Review 3. Fraud Detection in Decentralized Autonomous Organization (DAO) with Machine Learning 4. Improving Machine Learning Performance Using Sampling Techniques for COVID-19 Imbalanced Data Part II: Cybersecurity Challenges and Resilience in Healthcare and Industrial Domains 5. Penetration Testing in Operations Technology and SCADA Environments 6. Cyberattacks in Healthcare: Analyzing Recent Trends and Preventive Measures 7. Enhancing Cyber Resilience: A Study of Red Teaming within Operational Technology Domains 8. Demystifying the Role of Publicly Available Up-to-date Benchmark Intrusion Datasets: A Case Study of Web Security Part III: Advanced Technologies for Cybersecurity and Privacy 9. Advancing Blockchain Privacy: The Role of Homomorphic Encryption 10. Developing a Big Data Infrastructure: Integral Modules and Best Procedures for Alleviating Security and Privacy Challenges 11. Evaluation of the Performance of Pattern Search and Genetic Algorithms for Enhancing the Lifetime of WSNs
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