A BELIEF FORECASTING METHODOLOGY TO PRESERVE DATA SECURITY AND PRIVACY IN MANET ROUTING

摘要

The importance of data communication in wireless network demands a complete belief system through which the data security and privacy can be preserved during communication. Even the increase of the utilization of wireless data sharing especially in short-range communication or ad hoc network suffers from impersonation and DoS attacks. It is highly important to identify the belief nodes which supports the sort range or hop based communication to have a secure and privacy routing. In this paper, we propose a Belief Forecasting Methodology (BFM) to forecast the routing node about the believing nodes to improvise the data privacy routing in MANET. The goal of the BFM to protect the network from the malicious intruders and secure the data privacy during routing. It will compute the Belief Weight (BW) prediction based on the node activity and trustiness to decide the level of privacy of a node to support routing. The experiment simulation was performed through intruding malicious node in the network to evaluate the improvisation, and the result analysis suggested the effectiveness of the BFM to preserve the routing privacy in comparison of different evaluation measures.