A method for obtaining digital signatures and public-key cryptosystems
Communications of the ACM
Digital watermarking
The Design of Rijndael
A Commutative Encrypted Protocol for the Privacy Protection of Watermarks in Digital Contents
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Exploiting self-similarities to defeat digital watermarking systems: a case study on still images
Proceedings of the 2004 workshop on Multimedia and security
A Novel Audio Watermarking in Wavelet Domain
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Multimedia Content Encryption: Techniques and Applications
Multimedia Content Encryption: Techniques and Applications
Quasi-commutative watermarking and encryption for secure media content distribution
Multimedia Tools and Applications
An efficient fingerprinting scheme with symmetric and commutative encryption
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Secure watermark embedding through partial encryption
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Commutative Encryption and Watermarking in Video Compression
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
With the rapid progress in communication and multimedia technology, protection of multimedia assets has become a major concern. Encryption and watermarking are two complementary techniques that are used for safeguarding multimedia data like audio, video and images. These methods serve two different purposes; encryption helps in making the media unintelligible, while watermarking helps in providing copyright information in it. In this paper a combination of both encryption and watermarking is incorporated on audio files with this aim in view. Discrete Wavelet Transformation (DWT) is performed on audio files up to third level which gives rise to a binary tree like structure. The areas for watermark embedding and encryption are selected among the wavelet coefficients in the leaf nodes of the tree. Detailed experimentation is carried out with analysis of SNR values, that leads to the determination of degree of degradation of the audio quality after encryption. Such controlled degradation can be used for safe distribution of audio contents over public networks, whereby only the authorized users can have access to the high quality contents, while other users can only access a lower quality version.