Chaos-based image cipher has been widely investigated over the last decade or so to meet the increasing demand for real-time secure image transmission over public networks. In this paper, an improved diffusion strategy is proposed to promote the efficiency of the most widely investigated permutation-diffusion type image cipher. By using the novel bidirectional diffusion strategy, the spreading process is significantly accelerated and hence the same level of security can be achieved with fewer overall encryption rounds. Moreover, to further enhance the security of the cryptosystem, a plain-text related chaotic orbit turbulence mechanism is introduced in diffusion procedure by perturbing the control parameter of the employed chaotic system according to the cipher-pixel. Extensive cryptanalysis has been performed on the proposed scheme using differential analysis, key space analysis, various statistical analyses and key sensitivity analysis. Results of our analyses indicate that the new scheme has a satisfactory security level with a low computational complexity, which renders it a good candidate for real-time secure image transmission applications. (C) 2012 Optical Society of America
机构:
Nantong Text Vocat Technol Coll, Modern Educ Technol Ctr, Nantong 226007, Jiangsu, Peoples R ChinaNantong Text Vocat Technol Coll, Modern Educ Technol Ctr, Nantong 226007, Jiangsu, Peoples R China
Wu, Xinhua
2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD),
2013,
: 1020
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1024
机构:
City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
Yuen Ching-Hung
Kwok-Wo, Wong
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机构:
City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
机构:
Department of Mathematics, University of Management and Technology, Lahore,54770, PakistanDepartment of Mathematics, University of Management and Technology, Lahore,54770, Pakistan
机构:
Guizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R ChinaGuizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
Li, Zhen
Peng, Changgen
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h-index: 0|
机构:
Guizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R ChinaGuizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
Peng, Changgen
Tan, Weijie
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h-index: 0|
机构:
Guizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R ChinaGuizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
Tan, Weijie
Li, Liangrong
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h-index: 0|
机构:
Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R ChinaGuizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China