System of AI-Driven Detection and Mitigation of False Data Injection in Industrial IoT (IIoT)

Welcome to the GitHub repository of the Sigma Boys Team for the System of Detection and Mitigation of False Data Injection in Industrial IoT (IIoT). This innovative project focuses on safeguarding industrial systems from False Data Injection (FDI) attacks using cutting-edge data science and AI techniques. It aims to enhance security and ensure data integrity in IIoT environments.

Authors

• Pandu Persada Tanjung
• Muhammad Nibroos Abrar
• Ghiffari Kenang Sagraha

About Us

The Sigma Boys Team is dedicated to developing innovative solutions for industrial challenges. Our expertise lies in leveraging advanced technologies, including data science, AI, and generative AI, to create secure and efficient industrial systems. This project is a testament to our commitment to enhancing industrial IoT environments through cutting-edge tools.

About the System

This project focuses on safeguarding industrial systems from False Data Injection (FDI) attacks using cutting-edge data science, AI, generative AI techniques, and real-time analytics. The system has been developed using Bliv, a product of PT. BangunIndo, and Google Vertex AI to identify and neutralize threats while ensuring uninterrupted industrial operations and data integrity in IIoT environments.

Key Features:

• Real-time Detection: Quickly identifies anomalies in IIoT data streams using advanced algorithms.
• Mitigation: Automatically neutralizes threats by isolating compromised devices and correcting tampered data.
• Visualization: Provides a user-friendly dashboard for monitoring system performance and attack logs.
• Scalable and Flexible: Easily integrates with diverse IIoT architectures and protocols.
• Chatbot Assistance: Includes an AI-powered chatbot to assist users in troubleshooting, system configuration, and providing detailed attack insights.
• Real-time Detection: Quickly identifies anomalies in IIoT data streams using advanced algorithms.
• Mitigation: Automatically neutralizes threats by isolating compromised devices and correcting tampered data.
• Visualization: Provides a user-friendly dashboard for monitoring system performance and attack logs.
• Scalable and Flexible: Easily integrates with diverse IIoT architectures and protocols.