6 papers
From Risk to Resilience: Towards Assessing and Mitigating the Risk of Data Reconstruction Attacks in Federated Learning
Xiangrui Xu, Zhize Li, Yufei Han +3
Data Reconstruction Attacks (DRA) pose a significant threat to Federated Learning (FL) systems by enabling adversaries to infer sensitive training data from local clients. Despite…
TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
Nan Wang, Xuezhi Wen, Dalin Zhang +7
APT detection is difficult to detect due to the long-term latency, covert and slow multistage attack patterns of Advanced Persistent Threat (APT). To tackle these issues, we propos…
Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey
Shuang Tian, Tao Zhang, Jiqiang Liu +8
With the rapid development of technology and the acceleration of digitalisation, the frequency and complexity of cyber security threats are increasing. Traditional cybersecurity ap…
An Analysis of Malicious Packages in Open-Source Software in the Wild
Xiaoyan Zhou, Ying Zhang, Wenjia Niu +3
The open-source software (OSS) ecosystem suffers from security threats caused by malware.However, OSS malware research has three limitations: a lack of high-quality datasets, a lac…
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
Xuzeng Li, Tao Zhang, Jian Wang +5
Deep reinforcement learning (DRL) has been widely used in many important tasks of communication networks. In order to improve the perception ability of DRL on the network, some stu…
Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study
Tianhao Liu, Jiqiang Liu, Tao Zhang +5
Ensuring end-to-end cross-layer communication security in military networks by selecting covert schemes between nodes is a key solution for military communication security. With th…