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Non-Linear Hopped Chaos Parameters-Based Image Encryption Algorithm Using Histogram Equalization.
Moussa, Karim H; Naggary, Ahmed I El; Mohamed, Heba G.
Affiliation
  • Moussa KH; Electrical Department, College of Engineering, Horus University Egypt, New Damietta 34518, Egypt.
  • Naggary AIE; King Marriott Institute of Engineering and Technology, Alexandria 23713, Egypt.
  • Mohamed HG; Electrical Department, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.
Entropy (Basel) ; 23(5)2021 Apr 27.
Article in En | MEDLINE | ID: mdl-33925618
Multimedia wireless communications have rapidly developed over the years. Accordingly, an increasing demand for more secured media transmission is required to protect multimedia contents. Image encryption schemes have been proposed over the years, but the most secure and reliable schemes are those based on chaotic maps, due to the intrinsic features in such kinds of multimedia contents regarding the pixels' high correlation and data handling capabilities. The novel proposed encryption algorithm introduced in this article is based on a 3D hopping chaotic map instead of fixed chaotic logistic maps. The non-linearity behavior of the proposed algorithm, in terms of both position permutation and value transformation, results in a more secured encryption algorithm due to its non-convergence, non-periodicity, and sensitivity to the applied initial conditions. Several statistical and analytical tests such as entropy, correlation, key sensitivity, key space, peak signal-to-noise ratio, noise attacks, number of pixels changing rate (NPCR), unified average change intensity randomness (UACI), and others tests were applied to measure the strength of the proposed encryption scheme. The obtained results prove that the proposed scheme is very robust against different cryptography attacks compared to similar encryption schemes.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Entropy (Basel) Year: 2021 Document type: Article Affiliation country: Egypt Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Entropy (Basel) Year: 2021 Document type: Article Affiliation country: Egypt Country of publication: Switzerland