Editors:
Focuses on cyber threat intelligence of recent threats (i.e. ransomware) within emerging IT environments (i.e. IoT, Cloud, Mobile devices)
One of the first books that focuses on cyber threat intelligence and how different machine learning and data science techniques can be used in this field
Provides an inter-disciplinary view of cyber threat intelligence and paves the way for future research in the field
Part of the book series: Advances in Information Security (ADIS, volume 70)
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Table of contents (16 chapters)
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Front Matter
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Back Matter
About this book
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 backgrounds in 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.
Reviews
Editors and Affiliations
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Department of Computer Science, University of Sheffield, Sheffield, United Kingdom
Ali Dehghantanha
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Department of Mathematics, University of Padua, Padua, Italy
Mauro Conti
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Department of Computer Science, University of Salford, Manchester, United Kingdom
Tooska Dargahi
Bibliographic Information
Book Title: Cyber Threat Intelligence
Editors: Ali Dehghantanha, Mauro Conti, Tooska Dargahi
Series Title: Advances in Information Security
DOI: https://doi.org/10.1007/978-3-319-73951-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-73950-2Published: 14 May 2018
Softcover ISBN: 978-3-030-08891-0Published: 02 February 2019
eBook ISBN: 978-3-319-73951-9Published: 27 April 2018
Series ISSN: 1568-2633
Series E-ISSN: 2512-2193
Edition Number: 1
Number of Pages: VI, 334
Number of Illustrations: 28 b/w illustrations, 77 illustrations in colour
Topics: Security, Artificial Intelligence, Information Systems and Communication Service, Computer Communication Networks