Joint FEC codes and hash chains for optimizing authentication of JPEG2000 image streaming

This paper shows an optimizing stream-level authentication approach for secure and robust multimedia delivery over wireless networks. The proposed approach can achieve the optimum end-to-end authentic quality with a lower overhead. The received packet of codestreams is really effective to decrease the distortion, when it is both decodable and verifiable. Therefore, according to the coding and verification dependencies, an authentication optimization model (AOM) is designed to minimize the distortion and overhead. An implementation on the JPEG2000 codestream is realized via using the proposed AOM. By utilizing forward error correction (FEC) codes and hash chains, our approach can ensure that the verification dependencies are consistent with the coding dependencies. In other words, the proposed scheme does not cause quality degradations and it also reduce overhead redundancy. Experimental results demonstrate that our scheme achieves more optimizing end-to-end rate-distortion (R-D) performances at any packet-loss rate.