Decentralized intrusion detection and prevention system

Centralized intrusion detection and prevention systems (IDS/IPS) and Security Information Event Management (SIEM) systems often fail to instantly analyze and respond to information and cybersecurity threats that occur in distributed and heavy loaded environments due to the computational, storage and license limitations. In this project, we have built a novel distributed hierarchical system for early intrusion detection and subsequent assessment of cyber and information security risks based on anomalous behavior analysis without using predefined patterns. The whole project was developed from the scratch, including both research and development.

This project has been created using Blockchain, Python, React, MySQL, AWS