Putri Harahap
Universitas Muhammadiyah Tapanuli Selatan

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Analysis of Best Intrusion Detection System Software Selection for Cloud Infrastructure Using the Analytical Hierarchy Process (AHP) Method Rifanni Nurdin; Putri Harahap; Lela Budiarti
Journal of Information System and Education Development Vol. 4 No. 2 (2026): Journal Of Information System And Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62386/jised.v4i2.251

Abstract

Selecting the right security software is a critical decision for cloud infrastructure managers. This research aims to determine the best Intrusion Detection System (IDS) software using the Analytical Hierarchy Process (AHP) method. The evaluation process involves several key criteria, such as detection accuracy, resource consumption, ease of implementation, and cost. Several IDS alternatives, including Snort, Suricata, and Zeek, were compared through pairwise comparisons to obtain a priority ranking. The results of this study provide a quantitative basis for decision-making in choosing the most effective security solution. The implementation of AHP proves to be efficient in resolving complex multi-criteria problems in the field of cloud security