A security improved image encryption scheme based on chaotic Baker map and hyperchaotic Lorenz system
by Chong Fu; Zhan-kao Wen; Zhi-liang Zhu; Hai Yu
International Journal of Computational Science and Engineering (IJCSE), Vol. 12, No. 2/3, 2016

Abstract: In recent years, chaos-based image cipher has been widely studied and a growing number of schemes based on permutation-diffusion architecture have been proposed. However, most of the existing schemes are based on low-dimensional chaotic systems and have the drawbacks of small key space and weak security. In this paper, we present a security improved image cipher which utilises chaotic Baker map and hyperchaotic Lorenz system for permutation and diffusion. Compared with ordinary chaotic systems, hyperchaotic systems, with more complex dynamical behaviours and number of system variables, offer greater potential for secure cryptosystem construction. In diffusion stage, a plain-image related key stream generation scheme is introduced, which further improves the security against known/chosen plaintext attack. Extensive security analysis has been performed on the proposed scheme, including the most important ones like key space analysis, key sensitivity analysis, differential analysis and various statistical analyses, which has demonstrated the satisfactory security of the proposed scheme.

Online publication date: Sat, 30-Apr-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com