Explainable Artificial Intelligence for Cyber Threat Intelligence (XAI-CTI)

The papers in this special section focus on explainable artificial intelligence for cyber threat intelligence. Despite concerted efforts from industry, academia, and government on improving cybersecurity capabilities, cyber-threats such as ransomware, fake news, advanced malware, and others, continu...

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Bibliographic Details
Published in:IEEE transactions on dependable and secure computing 2022-07, Vol.19 (4), p.2149-2150
Main Authors: Samtani, Sagar, Chen, Hsinchun, Kantarcioglu, Murat, Thuraisingham, Bhavani
Format: Article
Language:English
Subjects:
Analytical models
Artificial intelligence
Computer security
Context modeling
Cyber threat intelligence
Deep learning
Phishing
Ransomware
Special issues and sections
Threat modeling
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Summary:The papers in this special section focus on explainable artificial intelligence for cyber threat intelligence. Despite concerted efforts from industry, academia, and government on improving cybersecurity capabilities, cyber-threats such as ransomware, fake news, advanced malware, and others, continue to exact a substantial toll on modern infrastructure and day-to-day societal operations. To help combat the ever-growing quantity and severity of cyber-threats, many organizations are adopting Cyber Threat Intelligence (CTI). At its core, CTI is a data-driven process that aims to identify emerging threats and key threat actors to help enable effective cybersecurity decision-making.
ISSN:1545-5971
1941-0018
DOI:10.1109/TDSC.2022.3168187