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Cyber Threat Intelligence

  • Ali Dehghantanha
  • Mauro Conti
  • Tooska Dargahi

Part of the Advances in Information Security book series (ADIS, volume 70)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Mauro Conti, Tooska Dargahi, Ali Dehghantanha
    Pages 1-6
  3. Andrii Shalaginov, Sergii Banin, Ali Dehghantanha, Katrin Franke
    Pages 7-45
  4. Omar M. K. Alhawi, James Baldwin, Ali Dehghantanha
    Pages 93-106
  5. Sajad Homayoun, Marzieh Ahmadzadeh, Sattar Hashemi, Ali Dehghantanha, Raouf Khayami
    Pages 137-153
  6. Brad Wardman, Michael Weideman, Jakub Burgis, Nicole Harris, Blake Butler, Nate Pratt
    Pages 155-168
  7. Michele Elingiusti, Leonardo Aniello, Leonardo Querzoni, Roberto Baldoni
    Pages 169-191
  8. Hamish Haughey, Gregory Epiphaniou, Haider Al-Khateeb, Ali Dehghantanha
    Pages 193-217
  9. Jarko Papalitsas, Sampsa Rauti, Jani Tammi, Ville Leppänen
    Pages 239-258
  10. Rehana Yasmin, Mohammad Reza Memarian, Shohreh Hosseinzadeh, Mauro Conti, Ville Leppänen
    Pages 259-279
  11. Mudit Kalpesh Pandya, Sajad Homayoun, Ali Dehghantanha
    Pages 281-296
  12. James Gill, Ihechi Okere, Hamed HaddadPajouh, Ali Dehghantanha
    Pages 297-310
  13. James Baldwin, Omar M. K. Alhawi, Simone Shaughnessy, Alex Akinbi, Ali Dehghantanha
    Pages 311-331
  14. Back Matter
    Pages 333-334

About this book

Introduction

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.

Keywords

Cyber threat Cyber security Hacking Threat intelligence Machine learning cyber forensics threat analysis intrusion detection incident response cyber defense malware analysis malware campaign detection cyber kill chain indicators of compromise evidence correlation

Editors and affiliations

  • Ali Dehghantanha
    • 1
  • Mauro Conti
    • 2
  • Tooska Dargahi
    • 3
  1. 1.Department of Computer ScienceUniversity of SheffieldSheffieldUnited Kingdom
  2. 2.Department of MathematicsUniversity of PaduaPaduaItaly
  3. 3.Department of Computer ScienceUniversity of SalfordManchesterUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-73951-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-73950-2
  • Online ISBN 978-3-319-73951-9
  • Series Print ISSN 1568-2633
  • Buy this book on publisher's site
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