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A Scheme for Improving Security in Peer-to-Peer Video Streaming Networks

Toghia, Pezhman | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 41182 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Rabiei, Hamid Reza
  7. Abstract:
  8. The improvments in computer networks and video compression techniques have motivated the network engineers to broadcast video over the Internet. Recently, Peer-to-Peer networks have been considered as a suitable way for video streaming. P2P networks are distributed and there’s no central management mechanism in them. In addition, video has a time-sensitive nature. Therefore, these networks are vulnerable to security attacks. Denial of Service attacks, attacks on the membership management mechanism, attacks on neighbors selection mechanism, selfish nodes and content pollution attacks are common attack on Peer-to-Peer Video Streaming networks. In a content pollution attack, one or several malicious nodes join the network and instead of sending the received chunks, they send polluted content to their neighbors, causing spreading the polluted content in the netowk and a high degradation in the video quality and then loss of the credibility of the provider. In this project we have proposed a method based on a video feature, the continuity of the video sequence in the most moments of the play time, in order to detect and avoid content pollution attacks in P2P Video Streaming networks. To detect the discontinuity of video sequence, scene change detection methods are used. In each node, the scene changes occurred in the beginning and at the end of the video chunks are counted and if this number is greater than a threshold, pollution will be diagnosed in the node. We have tested our idea by simulation in Matlab environment. The simulation has been done in two points of view, Single node and the whole of the network. In single node point of view, the algorithm is examined on a single node of network for different pollution percentile and different thresholds. In the whole of the network point of view, we examine the algorithm for all nodes in the network. In this viewpoint pollution spreading and diagnosis time of pollution is considered. The simulation results show that the proposed idea can diagnose the pollution in the network in a fast manner and prevent spreading of the polluted content in the network without any traffic overhead and with a small computational overhead
  9. Keywords:
  10. Video Streaming ; Network Security ; Peer-to-Peer Network ; Content Pollution ; Scene Change

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