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Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques Cover

Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques

By: Sarwat Ejaz,  Umara Noor and  Zahid Rashid  
Open Access
|Jun 2022

Abstract

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.

DOI: https://doi.org/10.2478/cait-2022-0019 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 96 - 113
Submitted on: Sep 9, 2021
Accepted on: Apr 20, 2022
Published on: Jun 23, 2022
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Sarwat Ejaz, Umara Noor, Zahid Rashid, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.