Cyber-Security Threats, Actors, and Dynamic Mitigation
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 5 April 2021
- ISBN 9780367433314
- Binding Hardback
- No. of pages392 pages
- Size 234x156 mm
- Weight 700 g
- Language English
- Illustrations 127 Illustrations, black & white; 25 Halftones, black & white; 102 Line drawings, black & white; 50 Tables, black & white 84
Categories
Short description:
Cyber-security and its related threats change constantly. The book aims at using practical contemporary machine learning-based techniques for detecting everyday threats such as, malware and dynamic risk analysis on attack graphs to determine how vulnerable the system is and what security measures are needed.
MoreLong description:
Cyber-Security Threats, Actors, and Dynamic Mitigation provides both a technical and state-of-the-art perspective as well as a systematic overview of the recent advances in different facets of cyber-security. It covers the methodologies for modeling attack strategies used by threat actors targeting devices, systems, and networks such as smart homes, critical infrastructures, and industrial IoT.
With a comprehensive review of the threat landscape, the book explores both common and sophisticated threats to systems and networks. Tools and methodologies are presented for precise modeling of attack strategies, which can be used both proactively in risk management and reactively in intrusion prevention and response systems. Several contemporary techniques are offered ranging from reconnaissance and penetration testing to malware detection, analysis, and mitigation. Advanced machine learning-based approaches are also included in the area of anomaly-based detection, that are capable of detecting attacks relying on zero-day vulnerabilities and exploits.
Academics, researchers, and professionals in cyber-security who want an in-depth look at the contemporary aspects of the field will find this book of interest. Those wanting a unique reference for various cyber-security threats and how they are detected, analyzed, and mitigated will reach for this book often.
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Table of Contents:
1. Cyber–attackers’ profiling. 2. Reconnaissance. 3. System threats. 4. Cryptography threats. 5. Network threats. 6. Malware detection and mitigation. 7. Dynamic risk management. 8. Attack graph generation. 9. Intelligent intrusion response.
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