threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

8 November 2021

Dongqi Han

Papers citing "threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning"

21 / 21 papers shown

Title
Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning Aditya Shinde Prashant Doshi AAML 21 0 0 02 May 2025
Deep Learning-based Intrusion Detection Systems: A Survey Zhiwei Xu Yujuan Wu Shiheng Wang Jiabao Gao Tian Qiu Ziqi Wang Hai Wan Xibin Zhao 26 1 0 10 Apr 2025
Sentient: Multi-Scenario Behavioral Intent Analysis for Advanced Persistent Threat Detection Wenhao Yan Ning An Wei Qiao Weiheng Wu Bo-Sian Jiang Yuling Liu Zhigang Lu JunRong Liu 62 0 0 10 Feb 2025
SHIELD: APT Detection and Intelligent Explanation Using LLM Parth Atulbhai Gandhi Prasanna N. Wudali Yonatan Amaru Yuval Elovici A. Shabtai AAML 61 1 0 04 Feb 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph Wenhan Jiang Tingting Chai Hongri Liu Kai Wang Hongke Zhang 44 0 0 13 Jan 2025
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Atmane Ayoub Mansour Bahar Kamel Soaid Ferrahi Mohamed-Lamine Messai H. Seba Karima Amrouche 36 0 0 08 Jan 2025
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift J. Ying Tiantian Zhu Aohan Zheng Tieming Chen Mingqi Lv Yan Chen 41 0 0 03 Jan 2025
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning Wei Qiao Yebo Feng Teng Li Zijian Zhang Zhengzi Xu Zhuo Ma Yulong Shen 38 0 0 23 Oct 2024
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs Philipp Gysel Candid Wuest Kenneth Nwafor Otakar Jašek Andrey Ustyuzhanin D. Divakaran 39 0 0 17 Aug 2024
Accurate and Scalable Detection and Investigation of Cyber Persistence Threats Qi Liu Muhammad Shoaib M. U. Rehman Kaibin Bao V. Hagenmeyer Wajih Ul Hassan 32 1 0 26 Jul 2024
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning Yonatan Amaru Prasanna N. Wudali Yuval Elovici A. Shabtai 50 1 0 08 Jun 2024
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection Lingzhi Wang Xiangmin Shen Weijian Li Zhenyuan Li R. Sekar Han Liu Yan Chen AAML 30 1 0 23 Apr 2024
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks Andrea Venturi Dario Stabili Mirco Marchetti AAML 40 1 0 18 Mar 2024
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection Xiangrui Cai Yang Wang Sihan Xu Hao Li Ying Zhang Zheli Liu Xiaojie Yuan 38 2 0 14 Mar 2024
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning Mingqi Lv HongZhe Gao Xuebo Qiu Tieming Chen Tiantian Zhu 37 2 0 23 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 24 0 0 03 Nov 2023
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning Zian Jia Yun Xiong Yuhong Nan Yao Zhang Jinjing Zhao Mi Wen 29 16 0 15 Oct 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search Enes Altinisik Fatih Deniz Husrev Taha Sencar 39 15 0 07 Sep 2023
Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach Sathvik Murli Dhruv Nandakumar P. Kushwaha Cheng Wang Christopher Redino Abdul Rahman Shalini Israni Tarun Singh Edward Bowen 20 0 0 01 Sep 2023
Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance Zijun Cheng Qiujian Lv Jinyuan Liang Yan Wang Degang Sun Thomas Pasquier Xueyuan Han 24 33 0 09 Aug 2023