40 citations · 85 across the 12 of their papers we have counts for
13 papers
ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance
Xuebo Qiu, Mingqi Lv, Yimei Zhang +2
Advanced Persistent Threats (APTs) remain difficult to detect due to their stealthy nature and long-term persistence. To tackle this challenge, provenance-based threat hunting has…
CCSK:Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models
Jianling Lu, Mingqi Lv, Tieming Chen
The performance of large language models (LLMs) in Q&A task increased substantially through Retrieval-Augmented Generation (RAG) which brings in external knowledge. However, the ma…
ActMiner: Applying Causality Tracking and Increment Aligning for Graph-based Cyber Threat Hunting
Mingjun Ma, Tiantian Zhu, Shuang Li +4
To defend against Advanced Persistent Threats on the endpoint, threat hunting employs security knowledge such as cyber threat intelligence to continuously analyze system audit logs…
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift
Jie Ying, Mengce Zheng, Jungan Chen +3
As Advanced Persistent Threat (APT) complexity increases, provenance data is increasingly used for detection. Anomaly-based systems are gaining attention due to their attack-knowle…
DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation
Jie Ying, Tiantian Zhu, Mingqi Lv +1
As the scope and impact of cyber threats have expanded, analysts utilize audit logs to hunt threats and investigate attacks. The provenance graphs constructed from kernel logs are…
CRUcialG: Reconstruct Integrated Attack Scenario Graphs by Cyber Threat Intelligence Reports
Wenrui Cheng, Tiantian Zhu, Tieming Chen +7
Cyber Threat Intelligence (CTI) reports are factual records compiled by security analysts through their observations of threat events or their own practical experience with attacks…
Nip in the Bud: Forecasting and Interpreting Post-exploitation Attacks in Real-time through Cyber Threat Intelligence Reports
Tiantian Zhu, Jie Ying, Tieming Chen +6
Advanced Persistent Threat (APT) attacks have caused significant damage worldwide. Various Endpoint Detection and Response (EDR) systems are deployed by enterprises to fight agains…
SPARSE: Semantic Tracking and Path Analysis for Attack Investigation in Real-time
Jie Ying, Tiantian Zhu, Wenrui Cheng +6
As the complexity and destructiveness of Advanced Persistent Threat (APT) increase, there is a growing tendency to identify a series of actions undertaken to achieve the attacker's…
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
Mingqi Lv, HongZhe Gao, Xuebo Qiu +4
APT (Advanced Persistent Threat) with the characteristics of persistence, stealth, and diversity is one of the greatest threats against cyber-infrastructure. As a countermeasure, e…
Kellect: a Kernel-Based Efficient and Lossless Event Log Collector for Windows Security
Tieming Chen, Qijie Song, Xuebo Qiu +3
Recently, APT attacks have frequently happened, which are increasingly complicated and more challenging for traditional security detection models. The system logs are vital for cyb…
APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts
Tiantian Zhu, Jinkai Yu, Tieming Chen +7
Advanced Persistent Threat (APT) attack usually refers to the form of long-term, covert and sustained attack on specific targets, with an adversary using advanced attack techniques…
A Heterogeneous Graph Learning Model for Cyber-Attack Detection
Mingqi Lv, Chengyu Dong, Tieming Chen +3
A cyber-attack is a malicious attempt by experienced hackers to breach the target information system. Usually, the cyber-attacks are characterized as hybrid TTPs (Tactics, Techniqu…
Efficient classification using parallel and scalable compressed model and Its application on intrusion detection
Tieming Chen, Xu Zhang, Shichao Jin +1
In order to achieve high efficiency of classification in intrusion detection, a compressed model is proposed in this paper which combines horizontal compression with vertical compr…