att_abstract={{The use of peer-to-peer (P2P) mechanisms for content delivery is  attractive to content and service providers alike. P2P data transfers  offload the demand on servers and reduce the bandwidth requirements, with  corresponding benefits of improved scalability and performance. This,  however, poses interesting challenges in ensuring content integrity. Peers  may be malicious and attempt to send corrupt and/or inappropriate content  to disrupt the service. Consequently, service providers must provide  clients with the capability to validate the integrity of content delivered  from peers. This goal is particularly challenging in the context of  streaming video because the content needs to be validated in real time. A  practical solution must provide high integrity assurance while incurring  low communication and computation overhead. In this paper, we present a  packet-based validation approach for ensuring the integrity of data  obtained from peers.  Our proposed scheme randomly selects packets and  validates their correctness. Through detailed experiments, we show that  this mechanism is not only lightweight but is also able to detect content  corruption with very high probability, thus protecting a service  provider's content delivery service. }},
	att_authors={vg7777, kr2812},
	att_copyright={{Comsnets }},
	att_tags={Content Validation, Integrity, Video-on-Demand, Peer-to-Peer, Streaming, Real time },
	author={Vijay Gopalakrishnan and Kadangode Ramakrishnan and Fang Yu and David Lee},
	institution={{Comsnets 2009}},
	title={{Loss-tolerant Real-time Content Integrity Validation for P2P Video Streaming}},