Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations

Rodgers, Waymond; Attah-Boakye, Rexford; Adams, Kweku

Abstract

Cybercrime continues to cause increasing threat to business processes, eroding stakeholders’ trust in Internet technologies. In this article, we explore how six dominant algorithmic trust positions facilitate cognitive processing, which, in turn, can influence an organization's productivity and align its values and support structures for combating cybercrimes. This conceptual paper uses a cognitive perspective described as a throughput model. This modeling perspective captures several dominant algorithmic trust positions for organizations, providing a new, and powerful approach which seeks to enhance our understanding of the cognitive representation of decision-making processes. These trust positions are rational-based trust, rule-based trust, category-based trust, third-party based trust, role-based trust, and knowledge-based trust. Finally, we provide conclusion and implications for future research.

Citation

Rodgers, W., Attah-Boakye, R., & Adams, K. (2020). Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations. IEEE Transactions on Engineering Management, https://doi.org/10.1109/TEM.2020.3019218

• Journal Article Type: Article
• Acceptance Date: Aug 30, 2020
• Online Publication Date: Sep 16, 2020
• Publication Date: 2020
• Deposit Date: Nov 5, 2020
• Publicly Available Date: Nov 19, 2020
• Journal: IEEE Transactions on Engineering Management
• Print ISSN: 0018-9391
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/TEM.2020.3019218
• Public URL: https://hull-repository.worktribe.com/output/3621275