Cyber Threat Intelligence : Challenges and Opportunities
Mauro Conti, Ali Dehghantanha, Tooska Dargahi

TL;DR
This paper discusses the concept of cyber threat intelligence, highlighting its challenges and opportunities, and emphasizes the role of AI, machine learning, and data mining in enhancing cyber attack detection and analysis.
Contribution
It provides an overview of cyber threat intelligence, identifying key challenges and opportunities, and introduces solutions leveraging advanced AI and data analysis techniques.
Findings
Cyber threat intelligence is crucial for real-time cyber attack defense.
AI and machine learning are essential tools for analyzing cyber threats.
The chapter outlines challenges and opportunities in cyber threat intelligence.
Abstract
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 realtime. In practice, timely dealing 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 an intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyse, and interpret cyber attack evidences. In this introductory chapter we first discuss the notion of cyber threat intelligence and its main challenges and opportunities, and then briefly introduce the chapters of the book which either address the identified challenges or present opportunistic solutions to provide threat…
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