An Adaptive Image Encryption Scheme Guided by Fuzzy Models
Publish place: Iranian Journal of Fuzzy Systems، Vol: 21، Issue: 1
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-21-1_001
تاریخ نمایه سازی: 7 اسفند 1402
Abstract:
A new image encryption scheme using the advanced encryption standard (AES), a chaotic map, a genetic operator, and a fuzzy inference system is proposed in this paper. In this work, plain images were used as input, and the required security level was achieved. Security criteria were computed after running a proposed encryption process. Then an adaptive fuzzy system decided whether to repeat the encryption process, terminate it, or run the next stage based on the achieved results and user demand. The SHA-۵۱۲ hash function was employed to increase key sensitivity. Security analysis was conducted to evaluate the security of the proposed scheme, which showed it had high security and all the criteria necessary for a good and efficient encryption algorithm were met. Simulation results and the comparison of similar works showed the proposed encryptor had a pseudo-noise output and was strongly dependent upon the changing key and plain image.
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Authors
Mahdi Shariatzadeh
Shahid Bahonar University of Kerman
Mohammad Javad Rostami
Shahid Bahonar University of Kerman
Mahdi Eftekhari
Shahid Bahonar University of Kerman
Saeed Saryazdi
Shahid Bahonar University
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