1 research outputs found
Defense against Lion Attack in Cognitive Radio Systems using the Markov Decision Process Approach
Cognitive Radio (CR) technology is a solution to solve the lack of spectrum
by allowing the secondary user to use licensed bands. There are several
potential security challenges for cognitive radio like Jamming, PUE and Lion
attack. Lion attack is multi layer attacks that has effected on two layers. The
Lion attack uses PUE or jamming attack in physical layer to disrupt TCP
protocol in transport layer. Since transport layer is unaware of physical layer
situation, when it occurs to an unacknowledged packet, there is no way to
distinguish between congestion and disconnection in the physical layer. So the
windows size of TCP would be decrease because of a wrong decision caused by
unawareness. To Mitigate the Lion attack the cross layer design is usually used
to freeze its windows size during frequency handoff. The main issue in this
solution is finding the best strategy for freezing. In this paper, we propose a
dynamic method for freezing and performing frequency handoff to counter Lion
attack. Also a learning model based on Markov decision process (MDP) is
applied. By using the proposed method, the secondary user can choose an optimal
strategy in both physical and transport layers to reduce the effect of Lion
attack