A Novel Trust Taxonomy for Shared Cyber Threat Intelligence

Wagner, Thomas D. and Palomar, Esther and Mahbub, Khaled and Abdallah, Ali E. (2018) A Novel Trust Taxonomy for Shared Cyber Threat Intelligence. Security and Communication Networks, 2018. ISSN 1939-0114

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Abstract

Cyber threat intelligence sharing has become a focal point for many organizations to improve resilience against cyber attacks. The objective lies on sharing relevant information achieved through automating as many processes as possible without losing control or compromising security. The intelligence may be crowdsourced from decentralized stakeholders to collect and enrich existing information. Trust is an attribute of actionable cyber threat intelligence that has to be established between stakeholders. Sharing information about vulnerabilities requires a high level of trust because of the sensitive information. Some threat intelligence platforms/providers support trust establishment through internal vetting processes, others rely on stakeholders to manually build up trust. The latter may reduce the amount of intelligence sources. This work presents a novel trust taxonomy to establish a trusted threat sharing environment. 30 popular threat intelligence platforms/providers were analyzed and compared regarding trust functionalities. Trust taxonomies were analyzed and compared. Illustrative case studies were developed and analyzed applying our trust taxonomy.

Item Type:	Article
Identification Number:	10.1155/2018/9634507
Dates:	Date Event 30 April 2018 Accepted 5 June 2018 Published
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Thomas Wagner
Date Deposited:	14 May 2018 09:19
Last Modified:	22 Mar 2023 12:01
URI:	https://www.open-access.bcu.ac.uk/id/eprint/5902

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