<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques

Department of Computer Science and Software Engineering

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In an advanced and dynamic cyber threat environment, organizations need to yield more proactive methods to handle their cyber defenses. Cyber threat data known...

Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques

Data publikacji: 23 cze 2022

Zakres stron: 96 - 113

Otrzymano: 09 wrz 2021

Przyjęty: 20 kwi 2022

DOI: https://doi.org/10.2478/cait-2022-0019

Słowa kluczowe
Cyber threat intelligence, machine learning, visual analytics, tactics techniques and procedures, cyber threat actor, malware

© 2022 Sarwat Ejaz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Visualizing Interesting Patterns in Cyber Threat Intelligence Using Machine Learning Techniques

Data publikacji: 23 cze 2022

Zakres stron: 96 - 113

Otrzymano: 09 wrz 2021

Przyjęty: 20 kwi 2022

DOI: https://doi.org/10.2478/cait-2022-0019

Słowa kluczoweCyber threat intelligence, machine learning, visual analytics, tactics techniques and procedures, cyber threat actor, malware

© 2022 Sarwat Ejaz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Cyber threat intelligence, machine learning, visual analytics, tactics techniques and procedures, cyber threat actor, malware