6 papers
Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
Thusitha Dayaratne, Ngoc Duy Pham, Viet Vo +5
The introduction of 5G and the Open Radio Access Network (O-RAN) architecture has enabled more flexible and intelligent network deployments. However, the increased complexity and o…
Self-Adaptive and Robust Federated Spectrum Sensing without Benign Majority for Cellular Networks
Ngoc Duy Pham, Thusitha Dayaratne, Viet Vo +5
Advancements in wireless and mobile technologies, including 5G advanced and the envisioned 6G, are driving exponential growth in wireless devices. However, this rapid expansion exa…
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
Jiadong Lou, Xu Yuan, Rui Zhang +3
Graph neural networks (GNNs) have exhibited superior performance in various classification tasks on graph-structured data. However, they encounter the potential vulnerability from…
OblivCDN: A Practical Privacy-preserving CDN with Oblivious Content Access
Viet Vo, Shangqi Lai, Xingliang Yuan +2
Content providers increasingly utilise Content Delivery Networks (CDNs) to enhance users' content download experience. However, this deployment scenario raises significant security…
Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing
Viet Vo, Thusitha Dayaratne, Blake Haydon +5
Spectrum sharing is increasingly vital in 6G wireless communication, facilitating dynamic access to unused spectrum holes. Recently, there has been a significant shift towards empl…
Exploiting and Securing ML Solutions in Near-RT RIC: A Perspective of an xApp
Thusitha Dayaratne, Viet Vo, Shangqi Lai +5
Open Radio Access Networks (O-RAN) are emerging as a disruptive technology, revolutionising traditional mobile network architecture and deployments in the current 5G and the upcomi…