Research and Planning (1-2 months): Investigate the required technologies, tools, and approaches to build Project Asylum. Create a detailed project plan with milestones, timelines, and resource requirements.
AI/ML Model Development (2-3 months): Develop and train machine learning models for the AI/ML component using TensorFlow, PyTorch, or other AI frameworks. Experiment with various algorithms and models to optimize performance and accuracy.
Terraform Component Development (1-2 months): Implement the Terraform component to manage infrastructure provisioning, including creating and managing honeypots. Integrate this component with the AI/ML component for adaptive infrastructure management.
Monitoring and Logging Component Development (1-2 months): Set up and configure monitoring and logging tools like Prometheus, Grafana, and the ELK Stack. Ensure that these tools are integrated with the AI/ML and Terraform components for effective data collection and analysis.
Integration and Orchestration Component Development (1-2 months): Implement the integration and orchestration layer using Python, Node.js, or Golang. Ensure seamless communication and coordination between all components.
Security and Honeypot Component Development (1-2 months): Implement the Security and Honeypot component using tools like Cowrie or Honeyd. Set up honeypots that can engage attackers and monitor their interactions. Integrate this component with the AI/ML component to provide valuable data for analysis and adaptation.
Testing and Refinement (2-3 months): Conduct thorough testing of the system, identifying areas for improvement and optimization. Refine the machine learning models, honeypot configurations, and other components as needed to enhance the system’s performance and capabilities.
Documentation and User Guides (1-2 months): Create comprehensive documentation on the system architecture, component setup, configuration, and usage. This will enable users to understand and interact with the system effectively.
Community Involvement and Contribution (ongoing): Encourage community contributions to the project, such as improvements to the AI/ML models, Terraform configurations, or integration with additional monitoring and logging tools. A collaborative approach will help drive the project’s success and ensure its continued development and growth.
Release Management and Updates (ongoing): Plan and execute periodic releases of the system, incorporating new features, improvements, and bug fixes. Maintain a well-structured release schedule and versioning system to ensure users can easily upgrade and benefit from the latest enhancements.