Cloud Security and Analytics: An Intrusion Detection and Prevention Framework for Hybrid Cloud Environment

This growing use of a mix of third-party, public cloud-based, and on-premises IT increasingly creates challenges related to data security. This involves providing a full-fledged security system that identifies and stops intrusions based on multiple aspects. The framework that is proposed as an adaptive intrusion prevention system to be implemented in a hybrid cloud environment. It uses machine learning algorithms to detect any misbehavior, such as studying network traffic and adds another layer of security recourse between your perimeters. It effectively puts together a full list in real time. The data gathered is deployed in real-time to launch defense responses and mitigate potential attacks. It also has data security measures to protect sensitive information by encrypting, backing up, and monitoring it to avoid unauthorized access. All system activities are logged and observed using a central logging and auditing infrastructure to provide insights into possible intrusion. Cloud Security and Analytics: A Comprehensive Approach to Hybrid Cloud Security encompassing network security and data security.