PROJECT TITLE :

Anonymous multi-receiver remote data retrieval for pay-TV in public clouds

ABSTRACT:

Along with the rapid development of network-based Cloud Computing, security has become an important element. When a media corporation stores its programs in public clouds, it is important to authorise the consumers to enjoy the stored program by electronic payment. To protect the consumers' privacy and save the bandwidth, the authors propose an anonymous multi-receiver remote data retrieval model for pay-TV in public clouds. In the security model, they consider the malicious public cloud server (PCS), malicious corporation and malicious consumer. The authors' scheme can withstand the malicious PCS, malicious corporation and malicious consumer. At last, the authors give the computation efficiency analysis, Communication efficiency analysis and flexibility analysis. Their analysis shows that their scheme is provably secure and efficient.