Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

查看全文 作　　者：Sachin [1]Dhawan;Hemanta Kumar [2]Bhuyan;Subhendu Kumar [3]Pani;Vinayakumar [4]Ravi;Rashmi [5]Gupta;Arun [6]Rana;Alanoud Al [7]Mazroa 机构地区：[1]Dorset College,King George Blvd,Surrey,British Columbia,Canada;[2]Department of Information Technology,Vignan’s Foundation for Science,Technology and Research(Deemed to be University),Andhra Pradesh,India;[3]Krupajal Computer Academy,Biju Patnaik University of Technology(BPUT),Rourkela 751002,India;[4]Center for Artificial Intelligence,Prince Mohammad Bin Fahd University,Khobar,Saudi Arabia;[5]NSUT,East Campus(Formerly AIACTR,Delhi 110031,India(Affiliated to Guru Gobind Singh Inderaprastha University)),Dwarka 110078,India;[6]Department of Computer Science and Engineering Galgotias College of Engineering and Technology,Greater Noida 201310,Uttar Pradesh,India;[7]Department of Information Systems,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University(PNU),P.O.Box 84428,Riyadh 11671,Saudi Arabia 出　　处：《Journal of Safety Science and Resilience》索引2024年第5卷第1期,共11页 摘　　要：The exponential growth in communication networks,data technology,advanced libraries,and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as needed.However,this progress has also led to security concerns related to the transmission of confidential data.Nevertheless,safeguarding these data during communication through insecure channels is crucial for obvious reasons.The emergence of steganography offers a robust approach to concealing confidential information,such as images,audio tracks,text files,and video files,in suitable media carriers.A novel technique is envisioned based on back-propagation learning.According to the proposed method,a hybrid fuzzy neural network(HFNN)is applied to the output obtained from the least significant bit substitution of secret data using pixel value dif-ferences and exploiting the modification direction.Through simulation and test results,it has been observed that the proposed methodology achieves secure steganography and superior visual quality.During the experiments,we observed that for the secret image of the cameraman,the PSNR&MSE values of the proposed technique are 61.963895 and 0.041361,respectively. 关 键 词：Image enhancement Image processing STEGANOGRAPHY Deep learning Fuzzy neural combination