Cyber Threat Intelligence 1st edition by Ali Dehghantanha, Mauro Conti, Tooska Dargahi ISBN 303008891X 9783030088910

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Product details:

ISBN 10:       303008891X
ISBN 13: 978-3030088910
Author:         Ali Dehghantanha, Mauro Conti, Tooska Dargahi

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes.

The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works.

The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgroundsin artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

Cyber Threat Intelligence 1st Table of contents:

1. A Formal Model for a System’s Attack Surface
2. Effectiveness of Moving Target Defenses
3. Global ISR: Toward a Comprehensive Defense Against Cyber Threats
4. Compiler-Generated Software Diversity
5. Symbiotes and Defensive Mutualism: Moving Target Defense
6. Manipulating Program Functionality to Eliminate Security Vulnerabilities
7. End-to-End Software Diversification of Internet Services
8. Introducing Diversity and Uncertainty to Create Moving Attack Surfaces
9. Toward Network Configuration Randomization for Moving Target Defense
10. Configuration Management Security in Data Center Environments

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