|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 96 - Issue 11 |
| Published: June 2014 |
| Authors: Gururaj Hanchinamani, Linganagouda Kulakarni |
10.5120/16839-6690
|
Gururaj Hanchinamani, Linganagouda Kulakarni . A Novel Approach for Image Encryption based on Parametric Mixing Chaotic System. International Journal of Computer Applications. 96, 11 (June 2014), 29-37. DOI=10.5120/16839-6690
@article{ 10.5120/16839-6690,
author = { Gururaj Hanchinamani,Linganagouda Kulakarni },
title = { A Novel Approach for Image Encryption based on Parametric Mixing Chaotic System },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 96 },
number = { 11 },
pages = { 29-37 },
doi = { 10.5120/16839-6690 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Gururaj Hanchinamani
%A Linganagouda Kulakarni
%T A Novel Approach for Image Encryption based on Parametric Mixing Chaotic System%T
%J International Journal of Computer Applications
%V 96
%N 11
%P 29-37
%R 10.5120/16839-6690
%I Foundation of Computer Science (FCS), NY, USA
Advanced image encryption schemes for secure transmission and storage are increasingly needed for a number of applications like medical, military, satellite etc. In this paper, a novel image encryption algorithm based on Logistic and Tinkerbell map is proposed. The proposed method uses two 1-D Logistic maps with different keys and one 2-D Tinkerbell map. The chaotic sequence generated is mixed sequence from the X and Ysequences of Tinkerbell map depending on the chaotic sequences of two logistic maps. The main advantage of such a scheme is complex chaotic behavior of the generated chaotic sequences. The security and performance of the proposed method is analyzed thoroughly by using key-sensitivity, key-space, statistical, entropy, differential and performance analysis. The proposed approach achieves the required level of security with only one round of encryption operation. Hence the proposed method is computationally efficient.