The document discusses behavioral malware detection in delay-tolerant networks (DTNs), introducing a naive Bayesian model to characterize proximity malware and addressing challenges in evidence collection and filtering. It proposes methods like look-ahead, dogmatic filtering, and adaptive look-ahead to enhance malware detection effectiveness in DTNs. Additionally, it presents a novel inter-region routing proposal and outlines system configurations for both hardware and software needed to support the proposed methods.