Book chapter
Blind Source Separation-Based Encryption of Images and Speeches
Advances in Neural Networks – ISNN 2005, pp 544-549
2005
Abstract
Blind source separation (BSS) has been successfully applied in many fields such as communications and biomedical engineering. Its application for image and speech encryption, however, has been scarce. Motivated by the fact that the security of many public-key cryptosystems relies on the apparent intractability of the computational problems such as the integer factorization problem, we present a BSS-based method for encrypting images and speeches by utilizing the BSS underdetermined problem. We discuss how to construct the mixing matrix for encryption and how to generate the key signals. Computer simulation results show that the BSS-based method has high level of security.
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Details
- Title
- Blind Source Separation-Based Encryption of Images and Speeches
- Creators
- Qiuhua Lin - Dalian University of TechnologyFuliang Yin - Dalian UniversityHualou Liang - The University of Texas Health Science Center at Houston
- Publication Details
- Advances in Neural Networks – ISNN 2005, pp 544-549
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000230167200089
- Scopus ID
- 2-s2.0-24944478250
- Other Identifier
- 991019341846504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods