Enhancing IoT Security in 6G Networks: AI-Based Intrusion Detection, Penetration Testing, and Blockchain-Based Trust Management (Work-in-Progress Paper)

Enhancing IoT Security in 6G Networks: AI-Based Intrusion Detection, Penetration Testing, and Blockchain-Based Trust Management (Work-in-Progress Paper)

연구 분야: Strategies

학회: IFIP International Internet of Things Conference

The exponential growth of Internet of Things (IoT) devices in upcoming 6G networks poses significant security challenges, particularly concerning Distributed Denial of Service (DDoS) attacks, data breaches, and unauthorized access. This paper presents the NATWORK project’s approach to addressing these challenges through three distinct use cases (UC): UC#3.1 focuses on developing AI-driven machine learning techniques for anomaly detection and DDoS mitigation; UC#3.2 introduces advanced AI-powered penetration testing and vulnerability assessment tools; and UC#3.3 explores blockchain-based security mechanisms to enhance trust and secure communications in IoT ecosystems. Collectively, these use cases aim to fortify IoT networks against evolving cyber threats, ensuring data integrity and network resilience.