Proximity Malware Detection in Delay Tolerant Networks

Abstract

With the universal presence of short-range property technologies (e.g., Bluetooth and, a lot of recently, Wi-Fi Direct) within the shopper physical science market, the delay tolerant network (DTN) model is changing into a viable various to the standard infrastructural model. During this paper, we have a tendency to address the proximity malware detection and containment drawback with express thought for the distinctive characteristics of DTNs. we have a tendency to formulate the malware detection method as a call drawback underneath a general behavioural malware characterization framework. we have a tendency to analyze the chance related to the choice drawback and style a straightforward nevertheless effective malware containment strategy, look-ahead, that is distributed naturally and reflects a private node’s intrinsic trade-off between staying connected (with different nodes) and staying safe (from malware). moreover, we have a tendency to think about the advantages of sharing assessments among directly connected nodes and address the challenges derived from the DTN model to such sharing within the presence of liars (i.e., malicious nodes sharing false assessments) and defectors (i.e., smart nodes that have turned malicious thanks to malware infection).