The objective of this project is to design and develop a cloud-based security monitoring and threat detection system. The system monitors cloud resources in real-time, detects security threats, and generates alerts, helping students understand cloud security, anomaly detection, and proactive threat management.
Study cloud security principles, threats, and monitoring techniques.
Analyze common security threats such as unauthorized access, DDoS attacks, malware, and data breaches.
Prepare Software Requirement Specification (SRS) and system workflow documentation.
Design system architecture including monitoring agents, threat detection engine, and alerting module.
Create database schema for users, cloud resources, security logs, alerts, and threat history.
Implement secure user authentication and role-based access control.
Develop monitoring agents to collect logs, access events, network traffic, and system metrics.
Implement real-time threat detection using rule-based patterns (BCA level) or machine learning-based anomaly detection (MCA level).
Generate alerts for detected threats and log all security events.
Build dashboards to visualize threat levels, security trends, and active alerts.
Maintain audit logs for all monitoring and alerting activities.
Apply secure coding practices and data encryption to protect monitoring data.
Perform unit testing, integration testing, and simulation of security attack scenarios.
Validate detection accuracy and response effectiveness.
Prepare documentation including ER diagrams, system architecture diagrams, threat detection workflow, and test cases.
Deploy the system locally or on a cloud simulation environment for demonstration.
