Determining the Security Standards of Different Crypto Algorithms

The protection of digital information has become increasingly important as technology advances. Testing each cryptosystem individually can be time-consuming. To address this problem, a novel technique has been developed for identifying the most appropriate encryption algorithm for images by using a support vector machine. This study has developed a novel approach to evaluate the security level of encrypted images using a dataset with standardized criteria to perform encryption cryptography. These parameters, for instance, entropy, contrast, homogeneity, peak signal-to-noise ratio, mean square error, energy, and correlation serve as features for the dataset, which is categorized into three security levels: tolerable(acceptable), poor(weak), and powerful(strong). The proposed results indicate the effectiveness of our approach in determining the security level of encrypted images.