BSc IT Project Guide: Cloud Security Monitoring System
1. Project Title
Cloud Security Monitoring System
2. Objective
To develop a real-time cloud security monitoring system that helps detect threats, vulnerabilities, and anomalies in cloud infrastructure to ensure data and network safety.
3. Tools and Technologies
- Cloud Platform: AWS, Azure, or Google Cloud
- Programming Languages: Python, JavaScript
- Monitoring Tools: AWS CloudWatch, Azure Monitor, Google Operations Suite
- Security Tools: SIEM (e.g., Splunk, IBM QRadar), IDS/IPS systems
- Databases: MongoDB, Firebase, or Cloud SQL
- Visualization: Grafana, Kibana
- APIs and Webhooks
4. Project Modules
1. User Authentication and Role Management
2. Real-time Log Collection and Analysis
3. Threat Detection and Alerting System
4. Dashboard for Security Insights and Reports
5. Audit Logging and Historical Data Access
6. Integration with SIEM and Notification Systems
5. System Architecture
The system will have agents deployed on cloud infrastructure collecting logs, which are sent to a central monitoring system. The logs will be processed and analyzed using ML models and rule-based engines. Alerts and notifications will be generated for suspicious activity. All insights are visualized in a secure web dashboard.
6. Future Scope
Future enhancements can include AI-driven threat detection, automated remediation workflows, support for multi-cloud infrastructure, and compliance reporting for industry standards like GDPR, HIPAA, etc.