International Journal of Modern Engineering Research (IJMER)
Wireless networks are susceptible to numerous security vulnerabilities due to the open nature of the wireless medium. Anyone with a transceiver can eavesdrop on ongoing transmissions, block the transmission of legitimate ones or inject spurious messages. One of the fundamental ways for degrading the overall network performance is by jamming wireless transmissions. In this paper, the authors deal with the problem of selective jamming under an internal threat model. Here the eavesdropper who is aware of network secrets and the implementation details of all the layers of network protocols in the network stack. The attacker uses his/her internal knowledge for launching selective jamming attacks in which high importance messages are targeted. Hence, they propose a novel method for preventing selective jamming attacks in wireless networks.