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Investigating information security risk management in Yemeni banks: An CILOS-TOPSIS approach

Authors: Abdualmajed Ahmed Ghaleb Al-Khulaidi; Adel Abdulsalam Nasser; Mohammed Hussein Yahya Al-ashwal; Mujib Mohammed Yahya Al-Ashwal; Alrasheed Mohammed Altayeb;

Investigating information security risk management in Yemeni banks: An CILOS-TOPSIS approach

Abstract

In today's digital age, the banking sector faces increasing challenges in ensuring operational resilience, protecting customer assets, and maintaining a competitive edge. Prioritizing information security risk management (ISRM) practices is crucial to effectively address these challenges. This paper aims to demonstrate the effectiveness of the multi-criteria decision-making (MCDM) method in evaluating and improving ISRM practices in Yemeni banks. The study employs an integrated CILOS-TOPSIS model, considering two criteria and five sub-criteria, with criteria weights determined using the CILOS method. The results highlight the significance of specific criteria in ISRM, with the existence of a comprehensive business continuity and disaster recovery plan (C2.1) standing out as a top priority (weight: 0.266). Additionally, the frequency of data backups and the presence of an active backup policy (C2.2) and the adequacy of physical security measures (C1.1) are identified as crucial factors (weights: 0.228 and 0.203, respectively). Furthermore, the TOPSIS method is employed to rank 13 banks based on these criteria, revealing the top-performing banks as B10, B4, B13, B1, and B12. Conversely, the 7th, 5th, and 6th ranked banks require attention for improvement. The paper provides comprehensive details on criteria weighting, bank ranking, and recommendations for enhancements. The findings presented in this paper offer valuable insights to decision-makers in the banking sector, enabling them to effectively guide their efforts and allocate resources to areas, controls, and banks that require greater attention.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
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