دانلود مقاله ترجمه شده تشخیص بد رفتاری در VANET با استفاده از آنالیز علل ریشه ای

In this paper we have introduced a novel format for Misbehavior detection schemes. Misbehavior detection schemes form an basic part of disobeying node ejection in vehicular ad hoc networks (VANETs). A misbehaving node can send messages correspondent to an incident that either has not occurred, or incorrect information corresponding to an actual incident, or both, causing applications to break-down. When misbehavior is identified, it is vital to extort the root cause of the observed misbehavior This paper uses the Post-Crash Notifi-cation (PCN) application to illustrate the basic considerations and the key factors affecting the dependability recital of such schemes. The basic cause-tree approach is used effectively to jointly achieve misbehavior detection as well as identification of its root-cause and approach is illustrated. The approach is to first assemble a cause-tree, and then use successive logical reduction to arrive at a decision indicating the root-cause of the misbehavior. Misbehavior detection delay can be thought of as inversely correlated to the probability of detecting misbe-havior by a vehicle. In this paper we will see this prospect and the probability of incorrectly declaring misbehavior as the performance met-rics. The dependence of this reliability performance on the micro-mobility model of the vehicles is studied