Security Level Detection of Cryptosystems Using Machine Learning
Srividhya Ganesan, P. G. Rachana, P S S Sai Keerthana, N. Karthik Reddy, Reddy R. Niharika · 2024
With new enhancements of digital media technologies, privacy and security of the digital data is now an important concern. Researchers concentrate their work on enhancing the current algorithms to address security flaws. Many encryption methods that have been developed over the past few decades have been shown to be insecure, posing serious risks to sensitive data. Selecting the right encryption method is crucial for preventing these attacks, but the algorithm to use in any given circumstance relies on the type of data that has to be safeguarded. However, it takes longer to process each cryptosystem individually. With the aid of Support Vector Machines(SVM), By indicating the accuracy level of each encryption algorithm, we have proposed a security level identification approach for image encryption techniques that enables rapid and accurate selection of the best encryption algorithms.