SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions

Author:

Inam Muhammad Adil1,Chen Yinfang1,Goyal Akul1,Liu Jason1,Mink Jaron1,Michael Noor1,Gaur Sneha1,Bates Adam1,Hassan Wajih Ul2

Affiliation:

1. University of Illinois at Urbana-Champaign

2. University of Virginia

Publisher

IEEE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TurboLog: A Turbocharged Lossless Compression Method for System Logs via Transformer;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. PROV5GC: Hardening 5G Core Network Security with Attack Detection and Attribution Based on Provenance Graphs;Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks;2024-05-27

3. Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Enhancing Network Security Against APTs Through SVM-Based Network Traffic Analysis: Identifying Anomalies in Communication Flows;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

5. MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning;IEEE Transactions on Information Forensics and Security;2024

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