Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence  book cover
1st Edition

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence

  • Available for pre-order on April 7, 2023. Item will ship after April 28, 2023
ISBN 9788770227780
April 28, 2023 Forthcoming by River Publishers
590 Pages 87 Color & 7 B/W Illustrations

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Book Description

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligence-based techniques can be used.

This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on various disciplines related to big data analytics and intelligent systems for cyber threat intelligence applications.

Technical topics discussed in the book include:

  • Big data analytics for cyber threat intelligence and detection
  • Artificial intelligence analytics techniques
  • Real-time situational awareness
  • Machine learning techniques for CTI
  • Deep learning techniques for CTI
  • Malware detection and prevention techniques
  • Intrusion and cybersecurity threat detection and analysis
  • Blockchain and machine learning techniques for CTI

Table of Contents

1. Introduction 2. Cyber Threat Intelligence Model: An Evaluation of Taxonomies and Sharing Platform within Cyber Threat Intelligence 3. Evaluation of Open Source Web Application Firewalls for Cyber Threat Intelligence 4. User Privacy Protection Mechanisms and Attacks Models in LBS: A Comprehensive Survey 5. Analysis of Encrypted Network Traffic using Machine Learning Models 6. Comparative Analysis of Android Application Dissection and Analysis Tools for Identifying Malware Attributes 7. Classifying Android Pending Intent Based Securities using Machine Learning Algorithms 8. Machine Learning and Blockchain Integration for Security Applications 9. Cyberthreat Real-time Detection Based on an Intelligent Hybrid Network Intrusion Detection System 10. Intelligent Malware Detection and Classification using a Boosted Tree Learning Paradigm 11. Malware and Ransomware Classification, Detection and Prevention Using Artificial Intelligence Techniques

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Dr. Yassine Maleh is an associate professor of cybersecurity and IT governance at Sultan Moulay Slimane University, Morocco. He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology & Cybersecurity. He is a senior member of IEEE and a member of the International Association of Engineers and The Machine Intelligence Research Labs. Dr. Maleh has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. His research interests include information security and privacy, Internet of Things, networks security, information system, and IT governance. He has published over 100 papers, 20 edited books, and 3 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy, and the International Journal of Smart Security Technologies. He serves as an associate editor for IEEE Access, the International Journal of Digital Crime and Forensics, and the International Journal of Information Security and Privacy. He is a series editor of Advances in Cybersecurity Management, CRC Taylor & Francis. He was also a guest editor of a special issue on Recent Advances on Cyber Security and Privacy for Cloud-of-Things of the International Journal of Digital Crime and Forensics. He serves on executive and technical program committees and is a reviewer of numerous international conferences and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing.

Dr. Mamoun Alazab ( is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his Ph.D. degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience. Dr. Alazab’s research is multidisciplinary and focuses on cyber security and digital forensics of computer systems including current and emerging issues in the cyber environment like cyber-physical systems and the Internet of Things. He looks into the intersection use of machine learning as an essential tool for cybersecurity, for example, for detecting attacks, analyzing malicious code or uncovering vulnerabilities in software. He has published more than 100 research papers. He is the recipient of short fellowship from Japan Society for the Promotion of Science (JSPS) based on his nomination from the Australian Academy of Science. He has delivered many invited and keynote speeches; 27 events in 2019 alone, and has convened and chaired more than 50 conferences and workshops. He is the founding chair of the IEEE Northern Territory Subsection (Feb 2019–current). He is a Senior Member of the IEEE, Cybersecurity Academic Ambassador for Oman's Information Technology Authority (ITA), Member of the IEEE Computer Society's Technical Committee on Security and Privacy (TCSP) and has worked closely with government and industry on many projects.

Dr. Lo’ai Tawalbeh ( completed his Ph.D. degree in Electrical & Computer Engineering from Oregon State University in 2004, and MSc in 2002 from the same university with GPA 4/4. Dr. Tawalbeh is currently an associate professor at the Department of Computing and Cyber Security at Texas A&M University-San Antonio. Before that, he was a visiting researcher at the University of California-Santa Barbra. Since 2005 he has taught/developed more than 25 courses in different computer engineering disciplines and science with a focus on cybersecurity for the undergraduate/graduate programs at New York Institute of Technology (NYIT), DePaul’s University, and Jordan University of Science and Technology. Dr. Tawalbeh has won many research grants and awards with over US$2 million. He has over 80 research publications in refereed international journals and conferences

Dr. Imed Romdhani has been an Associate Professor in networking at Edinburgh Napier University since June 2005. He was awarded his Ph.D. from the University of Technology of Compiegne (UTC), France in May 2005. He holds also an engineering and a Master degree in networking obtained respectively in 1998 and 2001 from the National School of Computing (ENSI, Tunisia) and Louis Pasteur University of Strasbourg (ULP, France). He worked extensively with Motorola Research Labs in Paris and authored 4 patents.