Markov Chain Based Ant Colony Approach for Mitigating DDoS Attacks Using Integrated Vehicle Mode Analysis in VANET

Vehicular Ad-hoc Networks (VANET) remains receiving increasing attention in arrears to the multiplicity of services that they existent. VANET is mostly measured to present security associated traffic and infotainment services. Traffic and safety association need certain time info and the expressed info involves death or life decisions. A novel scheme attack detection using vehicle mode analysis in Exploratory Based Ant Colony Approach (EBACA) for VANET is proposed. The underlying assumption is that a mode analysis of vehicles specifies reliability and unreliability of messages they drive. With mode, all evident information on a vehicle is submitted to provide past, current and even prospect activities and its transmission activities. By getting a series of messages from a vehicle, the receiving vehicles are presented with an adequate amount of data that permits a significant analysis. Finally, the EBACA will quickly alleviate the Distributed Denial of Service attack during vehicle to vehicle communication in the VANET network.