5 citations · 12 across the 17 of their papers we have counts for
10 papers · 1 filter
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…
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…
Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
Ying Zhang, Xiaoyan Zhou, Hui Wen +4
Nowadays, the open-source software (OSS) ecosystem suffers from security threats of software supply chain (SSC) attacks. Interpreted OSS malware plays a vital role in SSC attacks,…
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection
Xiaoxiao Liu, Fan Xu, Nan Wang +4
Advanced Persistent Threat (APT) is challenging to detect due to prolonged duration, infrequent occurrence, and adept concealment techniques. Existing approaches primarily concentr…
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…
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Hangsheng Zhang, Jiqiang Liu, Jinsong Dong
Ensemble defenses, are widely employed in various security-related applications to enhance model performance and robustness. The widespread adoption of these techniques also raises…
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Hangsheng Zhang, Dongqi Han, Yinlong Liu +5
espite being widely used in network intrusion detection systems (NIDSs), machine learning (ML) has proven to be highly vulnerable to adversarial attacks. White-box and black-box ad…
How Hard is Takeover in DPoS Blockchains? Understanding the Security of Coin-based Voting Governance
Chao Li, Balaji Palanisamy, Runhua Xu +3
Delegated-Proof-of-Stake (DPoS) blockchains, such as EOSIO, Steem and TRON, are governed by a committee of block producers elected via a coin-based voting system. We recently witne…
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…