A Review of Provenance Graph based APT Attack Detection:Applications and Developments
Author:
Affiliation:
1. Cyberspace Institue of Advanced Technology Guangzhou University,Guangzhou,China
2. Zhaoyuan NO. 1 Secondary Vocational School,Yantai,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9899765/9899766/09900181.pdf?arnumber=9900181
Reference44 articles.
1. SPADE: Support for Provenance Auditing in Distributed Environments
2. Cyber threat prediction using dynamic heterogeneous graph learning
3. {ATLAS}: A Sequence-based Learning Approach for Attack Investigation[C];alsaheel;30th USENIX Security Symposium (USENIX Security 21),2021
4. Tactical Provenance Analysis for Endpoint Detection and Response Systems
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1. TRACEGADGET: Detecting and Tracing Network Level Attack Through Federal Provenance Graph;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. A Generation Method of New Power System APT Attack Graph Based on DQN;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2024-01
3. XFedGraph-Hunter: An Interpretable Federated Learning Framework for Hunting Advanced Persistent Threat in Provenance Graph;Information Security Practice and Experience;2023
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