Skip navigation

A hybrid-key based image encryption and authentication scheme with the use of ergodic matrix

A hybrid-key based image encryption and authentication scheme with the use of ergodic matrix

Zhou, Xiangming, Ma, Jixin, Du, Wencai and Zhao, Yongzhe (2010) A hybrid-key based image encryption and authentication scheme with the use of ergodic matrix. In: 2nd International Symposium on Computer Network and Multimedia Technology, 24-26 December 2010, Wuhan, China.

[img] PDF (Publisher PDF)
4369_Jixin_A_hybrid_key_based_image_(pub_PDF,_poster)_2010.pdf - Published Version
Restricted to Registered users only

Download (388kB)

Abstract

The chaos-based cryptosystems have certain advantages over the traditional encryption algorithms due to their higher speed and lower costs. However, the existing chaos based cryptosystems are almost all based on symmetric cryptography. Symmetric cryptography is much faster than asymmetric ciphers, but the requirements for key exchange make them hard to use. Furthermore, most of the chaos-based cryptosystems cannot authenticate whether the message is exactly sent by the one. To remedy this imperfection, a hybrid-key based image encryption and authentication scheme is proposed in this paper. Particularly, ergodic matrices are utilized not only as public keys in the encryption/decryption process, but also as essential parameters in the confusion and diffusion stages. The results of several experiments, statistical analysis and sensitivity based tests confirm that compared to the existing chaos-based cryptosystems, the proposed scheme provides more secure way for image encryption and network transmission.

Item Type: Conference or Conference Paper (Poster)
Additional Information: Presented at CNMT2010 held in Wuchang, Hubei, China. It was presented within "Part IV Poster Session" and the Paper ID was 3684.
Uncontrolled Keywords: Hybrid-key, Ergodic matrix, Image encryption, Statistical analysis, Diffusion
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Science
Last Modified: 14 Oct 2016 09:11
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/4369

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics