Security Enhancement in Surveillance Cloud Using Machine Learning Techniques

Most industries are now switching from traditional modes to cloud environments and cloud-based services. It is essential create a secure environment for the space in order provide consumers with safe protected transactions. Here, we discuss suggested approaches creating reliable surveillance cloud. When assessing security of vital locations, data crucial. We implementing machine learning methods improve more precisely classify image pixels, make use Support Vector Machines (SVM) Fuzzy C-means Clustering (FCM). also extend conventional two-tiered design by adding third level, CloudSec module, lower risk potential disclosure data.In our work evaluates how well proposed model (FCM-SVM) performed against contemporary models like ANN, KNN, SVD, Naive Bayes. Comparing other cutting-edge models, found that it better, an average accuracy 94.4%.