Last few years, vehicular network has been taken more attention of researchers and automotive industries due to life saving factor. Vehicular Ad hoc Network (VANET) needs security to implement the wireless environment and serves users with safety and non safety applications. Attackers generate different attacks in this life saving vehicular network. In this paper, we propose five different classes of attacks and every class is expected to provide better perspective for the VANET security. The main contribution of this paper is the proposed solution for classification and identification of different attacks in VANET. © 2011 IEEE.