Multi-Attribute Decision-Making for Intrusion Detection Systems: A Systematic Review

Intrusion detection systems (IDSs) employ sophisticated security techniques to detect malicious activities on hosts and/or networks. IDSs have been utilized ensure the of computer and network systems. However, numerous evaluation selection issues related several cybersecurity aspects were solved using a decision support approach. The approach most often for in this regard is multi-attribute decision-making (MADM). MADM can aid selecting optimal solution from huge pool available alternatives when appropriate attributes are provided. openness methods solving makes it largely efficient IDS applications. We must first understand solutions gaps area research provide an insightful analysis combination with researchers. Therefore, study conducts systematic review organize landscape into consistent taxonomy. A total 28 articles considered taxonomy classified three main categories: data ([Formula: see text]), response text]) text]). Each category was thoroughly analyzed terms variety aspects, including challenges confronted, as well contributions each study. Furthermore, datasets, attributes, methods, validation bibliography used by selected discussed. In study, we highlighted existing perspective opportunities literature through review, providing researchers valuable reference.