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Author(s):
Nan Sun Jun Zhang Ming Ding Weikang Xu Xiaoxing Mo Yonghang Tai Jiaojiao Jiang
Journal
Institute of Electrical and Electronics Engineers (IEEE)
Abstract

We present a comprehensive review of recent research efforts on CTI mining from multiple data sources in this article. Specifically, we provide and devise a taxonomy to summarize the studies on CTI mining based on the intended purposes (i.e., cybersecurity-related entities and events, cyber attack tactics, techniques and procedures, profiles of hackers, indicators of compromise, vulnerability exploits and malware implementation, and threat hunting), along with a comprehensive review of the current state-of-the-art. Lastly, we discuss research challenges and possible future research directions for CTI mining.

Concluding remarks
We proposed a classification scheme for organizing and categorizing existing research works on the basis of the purposes of CTI knowledge acquisition, and we highlighted the methodology adopted by the existing studies. In accordance with the proposed classification scheme, we thoroughly review and discuss current works, including cybersecurity related entities and events, cyber attack tactics, techniques and procedures, profiles of hackers, indicators of compromise, vulnerability exploits and malware implementation, and threat hunting. Furthermore, we discussed current challenges and promising future research directions. Over the past several decades, there has been tremendous interest in CTI mining, specifically for proactive cybersecurity defense. Many people have come to the attention that an enormous number of new techniques and models are developed every year.

Reference details

DOI
10.1109/COMST.2023.3273282
Resource type
Journal Article
Year of Publication
2023
ISSN Number
1553-877X
Publication Area
Civilian cybersecurity
Date Published
2023

How to cite this reference:

Sun, N., Zhang, J., Ding, M., Xu, W., Mo, X., Tai, Y., & Jiang, J. (2023). Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/COMST.2023.3273282 (Original work published 2023)