Relevance Filtering for Shared Cyber Threat Intelligence (Short Paper)

Wagner, Thomas D. and Palomar, Esther and Mahbub, Khaled and Abdallah, Ali E. (2017) Relevance Filtering for Shared Cyber Threat Intelligence (Short Paper). In: Information Security Practice and Experience: 13th International Conference, ISPEC 2017. Lecture Notes in Computer Science . Springer International Publishing, pp. 576-586. ISBN 978-3-319-72358-7

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Abstract

Cyber threat intelligence sharing is an imperative process to survive current and future attacks. The received information may protect stakeholders from being attacked by utilizing the course of action to remedy on-site vulnerabilities. Automating this process has shown to be challenging because several processes have to be synchronized and orchestrated to achieve the goal of automated information sharing. Organizations are inundated with threat information generated on site and received through crowd sourcing. This work presents a novel component for automated sharing, i.e. the content relevance filter.

Item Type:	Book Section
Identification Number:	https://doi.org/10.1007/978-3-319-72359-4_35
Date:	8 December 2017
Subjects:	G400 Computer Science
Divisions:	Faculty of Computing, Engineering and the Built Environment REF UoA Output Collections > REF2021 UoA11: Computer Science and Informatics Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cyber Security
Depositing User:	Thomas Wagner
Date Deposited:	15 May 2018 14:17
Last Modified:	15 May 2018 14:17
URI:	http://www.open-access.bcu.ac.uk/id/eprint/5900

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