Protection of E-Learning Ecosystems: Integrated Threat Detection Environment for Moodle Virtual Learning Environment

The study presents an integrated security framework that offers intelligent threat detection and automated response mechanisms for Moodle-based learning platforms. The study examined over 160 unique malicious IP addresses that demonstrated sophisticated attack patterns: 59.8 % of the attacks were failed login attempts, and 40.2 % were unauthorized access attacks. The proposed system successfully detected and blocked 19 high-risk IP addresses, intercepted 32 critical SQL injection attempts, and prevented 67 brute-force attacks. Threats were detected in less than a second with an accuracy of 94.3 %. The presented integrated security environment demonstrates significant improvements in threat detection compared to traditional security measures.