Discover the latest breakthroughs from the NetsLab research group. Explore videos showcasing our innovations in 5G, 6G, AI-driven security, and advanced networking technologies. Dive into our work and see how we’re shaping the future of connectivity.
Explainable AI-based Data Poisoning Attacks Defence for Federated Learning
Link to the original paper: https://tinyurl.com/sherpa-fl
Next-generation networks like Beyond 5G (B5G)/6G are envisioned to be fully AI-driven. Therefore, it can be expected to rely heavily on up-to-date ML models, continuously trained by a distributed and privacy-preserved architecture like Federated Learning (FL). This demo presents a Federated Learning-based system robust against data poisoning attacks, utilizing Explainable AI (XAI) for attack detection. In the demo, we first simulate a FL training scenario. The simulation highlights how FL improves data privacy, and reduces the risk of client data exposure. Next, we demonstrate the applicability of XAI for poisoning attack detection within this FL framework. We show that while the detection of poisoning attacks is more challenging in a distributed AI environment, the use of XAI techniques significantly aids in identifying and understanding these attacks. Furthermore, our approach increases the flexibility of clients, thereby improving the overall robustness and security of the learning process. Through this demo, we illustrate how FL combined with XAI can be a powerful solution for maintaining the integrity and reliability of ML models in next-generation networks.
Radio Spectrum Data Collection with Distributed-Proof-of-Sense Blockchain Network
In this video, we demonstrate a groundbreaking approach to radio spectrum management using the Distributed-Proof-of-Sense (DPoS) blockchain consensus mechanism, specifically designed for Dynamic Spectrum Access (DSA) systems. DPoS incentivizes nodes to conduct spectrum sensing, enhancing energy efficiency and security in wireless networks.
Watch as we walk through the process of setting up a prototype network that uses HackRF One Software Defined Radio (SDR) as a spectrum sensor and a Raspberry Pi 4 to run the blockchain client. Our custom-built blockchain network utilizes elliptic curve cryptography-based zero-knowledge proofs (ZKPs) for verifying blocks, replacing energy-intensive methods like Proof-of-Work.
The demo showcases how nodes collect and share spectrum data in real time, addressing key issues like spectrum misuse and unauthorized access. We also illustrate how the DPoS algorithm efficiently determines the next block adder, improving the overall performance of the DSA system.
Key Benefits:
• Energy-efficient consensus algorithm
• Enhanced spectrum management and security
• Scalable for future token-based spectrum marketplaces
Join us for this deep dive into the future of spectrum access and blockchain technology!
Check out our papers:
https://ieeexplore.ieee.org/document/9762480
https://ieeexplore.ieee.org/document/10171207