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A Systematic Review of Metaheuristic-based Image Encryption Techniques
Abstract Image encryption protects the sensitive and confidential information of images. This protection comes from the combination of secret keys, encryption, and decryption algorithms. Chaotic maps are widely utilized by researchers to perform image encryption. Encryption with chaotic maps is very sensitive to initial conditions. Therefore, it can produce unacceptably low performance if the input parameters are not chosen wisely. This problem is solved by using meta-heuristic techniques in image encryption to obtain the optimized initial conditions. This paper presents a systematic review of metaheuristic algorithms used for image encryption. In this study, an effort is made to highlight the features and different issues of existing metaheuristic-based image encryption techniques. Parallel implementation, Hyper-parameter tuning, Stuck in local optima, Premature convergence, and Computational speed methods are generally used to evaluate metaheuristic-based image encryption techniques. The security parameters of these techniques, such as key space, speed, entropy, Number of Pixel Change Rate, Unified Average Changing Intensity, and correlation coefficient, are also evaluated. Articles from various databases are taken for study. In this systematic review, various research questions are identified and based on their answers, results have been formulated. Based on the study, the future directions are also identified for coming researchers in the field of metaheuristic-based image encryption.
A Systematic Review of Metaheuristic-based Image Encryption Techniques
Abstract Image encryption protects the sensitive and confidential information of images. This protection comes from the combination of secret keys, encryption, and decryption algorithms. Chaotic maps are widely utilized by researchers to perform image encryption. Encryption with chaotic maps is very sensitive to initial conditions. Therefore, it can produce unacceptably low performance if the input parameters are not chosen wisely. This problem is solved by using meta-heuristic techniques in image encryption to obtain the optimized initial conditions. This paper presents a systematic review of metaheuristic algorithms used for image encryption. In this study, an effort is made to highlight the features and different issues of existing metaheuristic-based image encryption techniques. Parallel implementation, Hyper-parameter tuning, Stuck in local optima, Premature convergence, and Computational speed methods are generally used to evaluate metaheuristic-based image encryption techniques. The security parameters of these techniques, such as key space, speed, entropy, Number of Pixel Change Rate, Unified Average Changing Intensity, and correlation coefficient, are also evaluated. Articles from various databases are taken for study. In this systematic review, various research questions are identified and based on their answers, results have been formulated. Based on the study, the future directions are also identified for coming researchers in the field of metaheuristic-based image encryption.
A Systematic Review of Metaheuristic-based Image Encryption Techniques
Kaur, Mandeep (author) / Singh, Surender (author) / Kaur, Manjit (author) / Singh, Arjun (author) / Singh, Dilbag (author)
2021
Article (Journal)
Electronic Resource
English
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