CTSCOPY: Hunting Cyber Threats within Enterprise via Provenance Graph-based Analysis-Reference-Cited by-同舟云学术

CTSCOPY: Hunting Cyber Threats within Enterprise via Provenance Graph-based Analysis

Published:2021-12 Issue: Volume: Page:
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Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
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Author:

Mei Rui¹,Yan Han-Bing²,Han Zhi-Hui²,Jiang Jian-Chun³

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences,Beijng,China

2. Coordination Center of China (CNCERT/CC),National Computer Network, Emergency Response Technical Team,Beijing,China

3. Institute of Software, Chinese Academy of Sciences,Beijing,China

Publisher

IEEE

Link

Reference39 articles.

5. ATLAS: A sequence-based learning approach for attack investigation;alsaheel;30th USENIX Security Symposium (USENIX Security 21),0

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1. FORTRESS: Shortest Feature Weighted Path System for Attack Investigation;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10

2. EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection;Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses;2023-10-16