Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques

Cybernetics and Information Technologies

Ejaz Sarwat¹  Noor Umara¹  Rashid Zahid² 

[1] Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan;Technology Management Economics and Policy Program, College of Engineering, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, 08826, Seoul, South Korea;

关键词: cyber threat intelligence;    machine learning;    visual analytics;    tactics techniques and procedures;    cyber threat actor;    malware;   

DOI  :  10.2478/cait-2022-0019

来源: DOAJ

【 摘 要 】

In an advanced and dynamic cyber threat environment, organizations need to yield more proactive methods to handle their cyber defenses. Cyber threat data known as Cyber Threat Intelligence (CTI) of previous incidents plays an important role by helping security analysts understand recent cyber threats and their mitigations. The mass of CTI is exponentially increasing, most of the content is textual which makes it difficult to analyze. The current CTI visualization tools do not provide effective visualizations. To address this issue, an exploratory data analysis of CTI reports is performed to dig-out and visualize interesting patterns of cyber threats which help security analysts to proactively mitigate vulnerabilities and timely predict cyber threats in their networks.

【 授权许可】

Unknown