Effectiveness Evaluation of Different IDSs Using Integrated Fuzzy MCDM Model

Cyber-attacks are becoming progressively complicated; hence, the functional issues of intrusion-detection systems (IDSs) present ever-growing challenges. Failing to detect intrusions may jeopardize trustworthiness security services, such as privacy preservation, authenticity, and accessibility. To fight these risks, different organizations nowadays use a variety approaches, techniques, technologies safeguard systems’ credibility. Establishing policies procedures, raising user awareness, implementing firewall verification systems, controlling system access, building computer-issue management groups all examples safeguarding methods. There is lack sufficient emphasis on effectiveness systems. In enterprises, IDS used analyze potentially dangerous activities taking place within technological settings. The selection efficient challenging task for organizations. This research evaluates impact five popular IDSs their efficiency in information security. authors fuzzy analytical hierarchy process (AHP) technique order performance by similarity ideal solution (TOPSIS)-based integrated multi-criteria decision-making (MCDM) methodology evaluate efficacy IDSs. findings this suggest that most appear be highly potential tools. Even though Snort extensively deployed, Suricata has substantial advantage over Snort. uses multi-threading functionality comparison boost processing performance.