PROJECT TITLE :

Disruptive Attacks on Video Tactical Cognitive Radio Downlinks

ABSTRACT:

We have a tendency to take into account video transmission over a mobile cognitive radio (CR) system operating in a hostile surroundings where an intelligent adversary tries to disrupt communications. We tend to investigate the optimal strategy for spoofing, desynchronizing, and jamming a cluster-primarily based CR network with a Gaussian noise signal over a slow Rayleigh fading channel. The adversary will limit access for secondary users (SUs) by either transmitting a spoofing signal in the sensing interval, or a desynchronizing signal within the code acquisition interval. By jamming the network throughout the transmission interval, the adversary will cut back the speed of successful transmission. We have a tendency to show how the adversary can optimally allocate its energy across subcarriers during sensing, code acquisition, and transmission intervals. We verify a worst-case optimal energy allocation for spoofing, desynchronizing, and jamming, that gives an upper sure to the received video distortion of SUs. We tend to conjointly propose cross-layer resource allocation algorithms and evaluate their performance under disruptive attacks.