Secure Cloud Sandbox is an academic cloud security project that proposes a secure and isolated cloud environment for analyzing suspicious files and detecting malicious behavior without affecting real systems.
The project combines cloud computing, virtualization, monitoring, and threat analysis concepts to improve cloud security and reduce cyber risks.
This project demonstrates how suspicious files and URLs can be executed safely inside isolated virtual machines (VMs) within a cloud environment.
The sandbox environment monitors file behavior, detects abnormal activities, and generates security alerts and analysis reports.
- Isolated Virtual Machine (VM) execution
- Rule-based threat detection
- Behavior monitoring and logging
- Secure cloud infrastructure
- Automated security alerts
- Virtual network isolation
- Malware behavior analysis
- Cloud Computing
- Virtualization
- AWS / Azure Concepts
- Cloud Monitoring
- Threat Analysis
- Cloud Security
- IAM Concepts
- Sandbox Isolation
User Upload
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Upload API / Gateway
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Sandbox Controller
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Isolated Virtual Machine (VM)
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Behavior Monitoring
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Threat Detection Engine
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Security Report
- AI-based threat detection
- Docker-based sandboxing
- Real-time monitoring dashboard
- Automated malware analysis
- Cloud-native deployment
- Advanced security analytics
Course: Cloud Computing
Project Type: Academic Cybersecurity & Cloud Security Project
Supervisor: Mohammed Falah Alajmi
- Saad Almutairi
- Rayan Almutawa
- Ayed Aldosari
- Abdullah Almughamis
ISOLATE • ANALYZE • PROTECT