Abstract:
The dramatic growth in video demand has motivated content providers (e.g., Netflix and YouTube) to evolve towards Dynamic Adaptive Streaming over HTTP (DASH). However, th...Show MoreMetadata
Abstract:
The dramatic growth in video demand has motivated content providers (e.g., Netflix and YouTube) to evolve towards Dynamic Adaptive Streaming over HTTP (DASH). However, the rapid growth of multimedia content presents content providers the problem of rapidly expanding the available bandwidth. Therefore, considering the effectiveness of the next generation networking paradigm, i.e., Information Centric Networking (ICN), recently DASH has been introduced to ICN. The inherent features of ICN including efficient content distribution and reduced bandwidth requirements greatly increases the network bandwidth utilization, which smoothly handles the multimedia content delivery. However, we identified that these features of ICN also causes new vulnerabilities in the network. In this paper, we propose a novel attack that exploits the two fundamental ICN characteristics: in-network caching and interest aggregation. We show that an adversary with limited resources is able to disrupt the adaptive behaviour of the DASH streaming control system to degrade the perceived Quality of Experience (QoE) of a benign user. In particular, the proposed attack that shows the vulnerability in ICN-based multimedia streaming, and forces DASH clients to oscillate with the high frequency and amplitude between various resolutions while streaming. We perform extensive simulations on AMuSt-ndnSIM to evaluate the attack performance, that is an increase in the annoyance factor in spatial dimension and the QoE degradation for the honest user. In addition, we propose possible countermeasures to alleviate these attacks.
Published in: 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
Date of Conference: 12-15 June 2018
Date Added to IEEE Xplore: 30 August 2018
ISBN Information: