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Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence

Albakri, Adham (2021) Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.90779) (KAR id:90779)


In recent years, the number of cyber-attacks that affect critical infrastructures

such as health, telecommunications and banks has been rapidly increasing. Sharing Cyber Threat Intelligence (CTI) is being encouraged and mandated as a way of improving overall cyber intelligence and defence, but its take up is slow. Organisations may well be justified in perceiving risks in sharing and disclosing cyber incident information, but they tend to express such worries in broad and vague terms. There are risks of breaching regulations and laws regarding privacy. With laws and regulations such as the General Data Protection Regulation (GDPR), the managers of CTI datasets need clear guidance on how and when it is legal to share such information. This thesis supports the decision of sharing CTI datasets as it proposes a novel contribution through a detailed understanding of which information in cyber incident reports requires protection against specific threats with assessed severity.

It presents a specific and granular analysis of the risks in cyber incident information sharing, looking in detail at what information may be contained in incident reports and which specific risks are associated with its disclosure. It provides a set of guidelines for the disciplined use of the STIX incident model in order to reduce information security risk. Then, it proposes a quantitative risk model to assess the risk of sharing CTI datasets enabled by sharing with different entities in various situations. The evaluation of the cyber incident model analysis and the quantative risk model has been validated by means of experts' opinions.

As a final contribution, this thesis defines the impact that GDPR legal aspects

may have on the sharing of CTI that helps technical people and CTI managers

with limited legal expertise to encompass legal consideration before sharing CTI datasets. In addition, it recommends protection levels for sharing CTI to ensure compliance with the GDPR.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Rodgers, Peter
DOI/Identification number: 10.22024/UniKent/01.02.90779
Uncontrolled keywords: Information Sharing, Cyber Incident Information, Associated Threats, Cyber Threat Intelligence, GDPR, Risk Assessment, Legal evaluation, STIX
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: Organisations -1 not found.
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 11 Oct 2021 09:10 UTC
Last Modified: 01 Nov 2022 00:00 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Albakri, Adham.

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