Attack-Resistant Collaboration in Wireless Video Streaming Social Networks

Abstract

Users using the same video streaming service within a wireless network share the same limited backbone bandwidth to the Internet. These users are motivated to collaborate with each other to obtain better-quality service. The decisions and actions of users influence the performance of others, hence they form a social network. In a fully-distributed wireless network, malicious attack can cause much more damage than over the Internet since the unstable wireless channel allows hostile users to mimic as a non-malicious user. Therefore, a robust attack-resistant cooperation strategy for non-malicious user is needed to combat the challenges in wireless networks. In this paper, we incorporate trust modelling into the cooperation among users to increase attack-resistance. Simulation results show our robust cooperation strategies can against $40 \%$ more attackers.