5 citations · 10 across the 14 of their papers we have counts for
7 papers · 1 filter
SherAgent: Scaling Attack Investigation in the Wild via LLM-Empowered Iterative Query-Filter Backtracking
Zhenyuan Li, Zhengkai Wang, Ling Jiang +5
Provenance-based attack investigation enables viable automation by standardizing data and query logic; however, it is critically hindered in practice by dependency explosions and f…
How Far Should We Need to Go : Evaluate Provenance-based Intrusion Detection Systems in Industrial Scenarios
Yue Xiao, Ling Jiang, Sen Nie +4
Provenance-based Intrusion Detection Systems (PIDSes) have been widely used to detect Advanced Persistent Threats (APTs). Although many studies achieve high performance in the eval…
ScamSweeper: Detecting Illegal Accounts in Web3 Scams via Transactions Analysis
Xiaoqi Li, Wenkai Li, Zhijie Liu +6
The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by…
KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis
Zhijie Liu, Qiyi Tang, Sen Nie +3
Binary code similarity analysis (BCSA) is a crucial research area in many fields such as cybersecurity. Specifically, function-level diffing tools are the most widely used in BCSA:…
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
Pengfei Jing, Mengyun Tang, Xiaorong Shi +5
Evaluating Large Language Models (LLMs) is crucial for understanding their capabilities and limitations across various applications, including natural language processing and code…
Detecting Malicious Accounts in Web3 through Transaction Graph
Wenkai Li, Zhijie Liu, Xiaoqi Li +1
The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by…
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…