The Decision Accuracy of Acquaintance List from Different Risk-cost Analysis

Abstract

Consultation-based Collaborative Intrusion Detection Network (CIDN) aims to improve the detection accuracy of an Intrusion Detection System (IDS). Acquaintance management has become a vital process which responsible for the acquaintance selection in CIDN. In an acquaintance management algorithm, the trustworthiness of the IDS is estimated by the used of risk-cost analysis. However, the inaccurate estimation of the risk cost value has lead to a poor acquaintance list quality. As there is more than one risk-cost analysis, it is beneficial to analyze the used of different risk-cost analysis in an acquaintance management algorithm. We implement three different risk-cost analysis in four different environments of CIDN. The result shows that in the mix component of the DDoS attack, our proposed risk-cost analysis provide higher acquaintance detection accuracy.