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Application of Artificial Intelligence and Machine Learning in Producing Actionable Cyber Threat Intelligence

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Author
Montasari, R.
Carroll, Fiona
Jahankhani, H.
Hosseinian-Far, A.
Daneshkhah, A.
Date
2021-01-07
Acceptance date
2020-07-20
Type
Book chapter
Publisher
Springer
ISSN
1613-5113
Embargoed until
2100-01-01
Metadata
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Abstract
Cyber Threat Intelligence (CTI) can be used by organisations to assist their security teams in safeguarding their networks against cyber-attacks. This can be achieved by including threat data feeds into their networks or systems. However, despite being an effective Cyber Security (CS) tool, many organisations do not sufficiently utilise CTI. This is due to a number of reasons such as not fully understanding how to manage a daily flood of data filled with extraneous information across their security systems. This adds an additional layer of complexity to the tasks performed by their security teams who might not have the appropriate tools or sufficient skills to determine what information to prioritise and what information to disregard. Therefore, to help address the stated issue, this paper aims firstly to provide an in-depth understanding of what CTI is and how it can benefit organisations, and secondly to deliver a brief analysis of the application of Artificial Intelligence and Machine Learning in generating actionable CTI. The key contribution of this paper is that it assists organisations in better understanding their approach to CTI, which in turn will enable them to make informed decisions in relation to CTI
Journal/conference proceeding
Advanced Sciences and Technologies for Security Applications;
Citation
Montasari, R. Fiona, C., Jahankhani, H., Hosseinian-Far, A. and Daneshkhah, A. (2021). Application of Artificial Intelligence and Machine Learning in Producing Actionable Cyber Threat Intelligence. In Montasari, R., Jahankhani, H. Hill, R. and Parkinson, S. (eds.) Digital Forensic Investigation of Internet of Things (IoT) Devices. Springer. pp. 47-64
URI
http://hdl.handle.net/10369/11184
DOI
https://doi.org/10.1007/978-3-030-60425-7
Description
Book chapter in book series Advanced Sciences and Technologies for Security Applications: Digital Forensic Investigation of Internet of Things (IoT) Devices available at https://doi.org/10.1007/978-3-030-60425-7
Sponsorship
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
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