A Novel Game-Theoretic Method for Detecting Malware in Delay-Tolerant Networks

Delay Tolerant Networking (DTN) is presented as an approach in network architecture that is employed to direct the technical problems in non-homogeneous networks that may reduce continuous network connectivity. The malware called, proximity malware that enters into Networks through Bluetooth, Wi-Fi etc. and take advantage of the opportunistic contacts for propagation. The behavioural characterization of malware is an alternative approach to shape matching for detecting proximity malware. Since there is a risk associated with decision in behavioral malware characterization, an extension named Look Ahead is introduced in this work. Furthermore, two wings are broken such as Adaptive Look ahead and Dogmatic is filtered to remove the challenge of evil nodes sharing false evidences. In the proposed research, a Game Theoretic approach for malware detection is introduced. The game theory provides a powerful mathematical tool having many players. The proposed system achieves high detection rate than previous approaches.