This document summarizes a proposed methodology called BMWA for behavior mapping of wormhole adversary nodes in mobile ad hoc networks (MANETs). It presents an algorithm to identify wormhole nodes based on calculating probabilities from observed node behavior and network statistics. The results show the technique can better balance identifying malicious nodes and maintaining communication performance compared to existing approaches. The proposed method models node behavior to make probabilistic decisions about identifying wormhole nodes in order to protect regular nodes from being affected.