EFFICIENT IMAGE ENCRYPTION SCHEMES BASED ON DEVELOPING AES ALGORITHM WITH FUZZY FUNCTION

This paper suggests three image encryption schemes based on developing ofAdvance Encryption Standard (AES) algorithm with the employment of fuzzy function for diagnoses medical images. In the three proposed image encryption methods, the image is firstly scrambled using the: a) First Algorithm: start with applied AES algorithm then the result modulated with Fuzzy function; .b) Second Algorithm: start with modulated Fuzzy function then the result applied AES algorithm. c) Third Algorithm: star with combine between modulated Fuzzy function with each operations of AES algorithm. The usage of a fuzzy map as a pre-processing scrambling stage along with the AES algorithm gives the advantages of both the noise immunity from the fuzzy map and the security encryption from the AES algorithm. Furthermore, the Triangular Membership Function (TMF) parameters are utilized as additional extra keys that improve the security of the image encryption methods. The analysis results of the security as well as evaluate the efficiency of developed algorithms detect that the cipher text image acquired is the similar as the plaintext image and fuzzy set theory was suitable for apply as round function in the design of other block image ciphers. Moreover, the security properties, demonstrated that our designs were highly secure and robust against possible image cryptographic attacks. Finally, the NIST statistical test for randomness as well as performance comparison between proposed schemes with identical methods ciphers image revealed that the proposed algorithms were quite secure, efficient, and faster than the conventional block ciphers. Key words: Image encryption, Advance Encryption Standard (AES), Fuzzy set theory, Triangular Membership Function (TMF), Peak Signal-to-Noise Ratio (PSNR), National Institute of Standards and Technology (NIST).