A Secure and Efficient Key Management for Intrusion Detection In Cloud Storage Based On PLS And SVM Model

Cloud computing, a novel way of storing and processing data, has become an essential tool for many individuals very soon. With the proliferation of AI and big data, it is now standard practice in manufacturing to employ these technologies to discover novel approaches to enhancing decision-making or to accelerate production. This proposed method consists of three phases: preprocessing, feature extraction, and model training. The goal of text preprocessing is to enhance the quality and utility of the text data so that it is better suited for additional analysis or modeling. Equations such as symmetric uncertainty, gain ratio, IG, chi-squared, and other filter-based feature selection approaches are employed for feature selection. We used a PLS-SVM to train the model. The proposed methodology outshines more traditional methods. After using the strategy, the accuracy was enhanced by 95.43%.