One of the purposes of this study is presenting a feature selection method with regard to the water insect optimization algorithm so that some important features of phishing attacks can be selected. In the proposed method, a binary version of the obsidian insect algorithm is initially formulated , and this binary version is used in feature selection for identifying phishing attacks which are combined with a multi-layered artificial neural network. Implementing the proposed method on two sets of data in relation to phishing attacks and in MATLAB software indicates that the proposed method has an precision equaling to 98.86% , accuracy equaling to 98.75% as well as a sensitivity equaling to 98.72%
Transis | ترنسیس
