Improved Accuracy in File Encryption using Noise Images as Key for AES Algorithm in Comparison with Salsa20 Algorithm

The objective of this research is to enhance the security of file encryption by utilizing Novel Noise Images as keys, thereby mitigating potential security threats. The proposed method employs advanced encryption standards and is compared with Salsa20 for improved effectiveness. Decentralized and participatory control systems rely on communication networks, but these systems often overlook the possibility of stealthy attacks that can have a significant impact while leaving minimal detection signals. This research focuses on the detection of a stealthy attack called MaR, which involves an attacker manipulating voltage measurements by using reference values, on a microgrid's communication network. The study utilized a comparatively larger and different sample size of 10, and the computation was conducted while G power is 0.8 with a 95% confidence interval and α and β values of 0.05 and 0.2, respectively. Advanced Encryption Standard (93.96%) identifies objects and increases the measured accuracy over Salsa20 (61.95%) having a significance p=0.001 (p<0.05). The accuracy of Advanced Encryption Standard (AES) is better when compared to accuracy of Stochastic Approach for LinkStructure Analysis (SALSA20).