Conference proceeding
FOCUS: Fatigue-Reducing IOCs Through Prioritization and Scoring
2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp.0020-0027
The 21st IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC 2023), 21st (Abu Dhabi, UAE, 14/11/2023–17/11/2023)
12/2023
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Abstract
In recent years, the field of Cyber Threat Intelligence (CTI) has undergone rapid development, primarily due to the emergence of various organizations and platforms dedicated to threat intelligence. Through automated analysis and real-time information sharing, companies can now more effectively identify and manage the risks associated with cyber threats and attacks. One of the most commonly used types of threat data is Indicators of Compromise (IOCs), which play a crucial role in early cyber intrusion detection and prevention. However, the quality of the collected data is often limited, and the sheer volume of real-time data can overwhelm security analysts, leading to IOC data fatigue. To address this challenge, a new scoring mechanism called FOCUS has been proposed. FOCUS utilizes various attributes and relationships provided by the VirusTotal online scanning engine analysis results to prioritize a set of IOCs. By concentrating on properly analyzed and ranked IOCs from a vast dataset, FOCUS can assist organizations in allocating resources and efforts more effectively. Ultimately, FOCUS can enhance the accuracy and efficiency of IOC analysis, strengthening an organization's ability to respond to cybersecurity threats.
Details
- Title
- FOCUS: Fatigue-Reducing IOCs Through Prioritization and Scoring
- Creators
- Vinay Sachidananda - Nanyang Technological UniversityBryson Teo - Nanyang Technological UniversityRuitao Feng - University of New South Wales (Australia, Sydney)Kwok-Yan Lam - Nanyang Technological University,SingaporeLiu Yang - Nanyang Technological University,Singapore
- Publication Details
- 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp.0020-0027
- Conference
- The 21st IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC 2023), 21st (Abu Dhabi, UAE, 14/11/2023–17/11/2023)
- Publisher
- IEEE
- Number of pages
- 8
- Identifiers
- 991013245550702368
- Copyright
- © 2023, IEEE
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Conference proceeding