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🔐 Multi-Tenant Cloud Security Framework

This project is a modular, layered security framework designed to secure multi-tenant cloud environments. It integrates advanced access control, encryption, intrusion detection (signature + ML), and real-time visualization using open-source tools.


🌐 Project Goals

  • ✅ Strong tenant isolation (VLAN + VM segmentation)
  • ✅ Fine-grained access control (RBAC, ABAC, XACML)
  • ✅ Tokenization & TLS encryption for sensitive data
  • ✅ Hybrid Intrusion Detection System (Snort + Isolation Forest)
  • ✅ Centralized, real-time dashboard using ELK + Grafana
  • ✅ Evaluation framework for performance and compliance (ISO/NIST)

📁 Project Structure

multi-tenant-cloud-security/
├── access_control/     # RBAC, ABAC, XACML logic
├── dashboard/          # Dockerized ELK + Grafana
├── docs/               # Architecture diagrams, instructions
├── encryption/         # Tokenization scripts, TLS setup
├── evaluation/         # Performance metrics, attack logs
├── ids/                # Snort rules + ML (Isolation Forest)
├── segregation/        # KVM + VLAN provisioning
├── scripts/            # Auto-setup, IDS trainer, deployment

⚙️ Key Technologies

  • Python (Flask, Scikit-learn)
  • Snort 3 (signature-based IDS)
  • Isolation Forest (ML-based anomaly detection)
  • WSO2 Balana (XACML PDP)
  • Open vSwitch + KVM (network isolation)
  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Grafana (visual dashboards)

🚀 Getting Started

🔧 Prerequisites

  • Docker & Docker Compose
  • Python 3.x + pip
  • Git
  • Git Bash (for Windows users)
  • KVM + Open vSwitch (for tenant simulation)

🔨 Setup Steps

  1. Clone the repo:

    git clone https://github.com/siogene/multi-tenant-cloud-security.git
    cd multi-tenant-cloud-security
  2. Start the dashboard:

    cd dashboard
    docker-compose up -d
  3. Run the ABAC engine:

    python access_control/abac_engine.py
  4. Train the ML-IDS:

    python ids/train_model.py

📊 Dashboard

Kibana: http://localhost:5601
Grafana (if configured): http://localhost:3000

Includes:

  • IDS Alert heatmaps
  • Access decision logs
  • Resource usage by tenant
  • Tokenization/decryption audit logs

🧪 Evaluation Metrics

Feature Precision Recall F1-Score
Snort 91% 84% 87.3%
IsolationForest 88% 89% 88.5%
Hybrid IDS 95% 93% 94.1%

📜 License

This project is licensed under the Apache 2.0 License.


✍️ Author

Saugat — as part of a research dissertation on securing multi-tenant cloud environments.


🌐 Contributions

Pull requests are welcome! Please open an issue first to discuss major changes.


✅ Project Status: Complete & Ready for Extension

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