Citation

Al-Dmour, Nidal A. and Kamrul Hasan, Mohammad and Ajmal, Masood and Ali, Muhammad Anshari and Naseer, Iftikhar and Ali, Atif and Al Hamadi, Hussam and Ali, Nasir (2023) An Automated Platform for Gathering and Managing Open-Source Cyber Threat Intelligence. In: 2023 International Conference on Business Analytics for Technology and Security (ICBATS), 7-8 March 2023, Dubai, United Arab Emirates.

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Abstract

The community has begun paying more attention to source OSCTI Cyber Threat Intelligence to stay informed about the rapidly changing cyber threat landscape. Numerous reports from the OSCTI frequently provide Information about dangers. However, current OSCTI gathering and management tools have mainly concentrated on individual minor compromise indicators, despite the urgent need for high-quality OSCTI. The relationship between higher-level notions (including the strategies, methods, and processes) and the connections between them, which hold crucial Information about dangerous behaviors and are crucial to revealing the full dangerous situation, have been disregarded. Therefore, we present SecurityKG, an automated OSCTI collection and administration system. SecurityKG collects OSCTI to extract high-fidelity knowledge about threat behaviours to address the void. Using a mixture of AI and NLP approaches, a security know-how graph is then constructed from a wide variety of sources. To facilitate knowledge graph exploration, SecurityKG provides a user interface (UI) that supports multiple forms of interactivity.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Open source intelligence, OSCTI, SecurityKG, Threat Intelligence
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Jul 2023 03:48
Last Modified:	04 Jul 2023 03:48
URII:	http://shdl.mmu.edu.my/id/eprint/11518

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