Security estimation in Streaming Protocols

Abstract

Streaming media protocol-based applications share communication resources with regular Network/Internet traffic. So, they are exposed to any existing security attacks. In the present paper, we measure this relationship between attacks and applications by introducing a probabilistic verification evaluation. Our approach is novel in that, it is based on the concurrency between models. In addition, the performance of these new models are qualitatively and quantitatively evaluated by using the PRISM model checker. The results are promising and characterized by a fairly short evaluation delay and automatic security measurement.