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Cyber Threat Intelligence

  • Book
  • © 2018

Overview

  • 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)

Keywords

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  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.

Reviews

“Cyber Threat Intelligence offers responsible security professionals a chance to come face to face with the cyberthreat detectors of the modern era. Many may be intimidated by the ‘computerese,’ equations, and algorithms … but they have the educational advantage of engaging with the genuine article, not a sugar-coated primer.” (James T. Dunne, Security Management, June 01, 2019)

Editors and Affiliations

  • Department of Computer Science, University of Sheffield, Sheffield, United Kingdom

    Ali Dehghantanha

  • Department of Mathematics, University of Padua, Padua, Italy

    Mauro Conti

  • Department of Computer Science, University of Salford, Manchester, United Kingdom

    Tooska Dargahi

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