Runtime Analysis of Whole-System Provenance

Author:

Pasquier Thomas1,Han Xueyuan2,Moyer Thomas3,Bates Adam4,Hermant Olivier5,Eyers David6,Bacon Jean7,Seltzer Margo8

Affiliation:

1. University of Bristol, Bristol, United Kingdom

2. Harvard University, Cambridge, MA, USA

3. University of North Carolina at Charlotte, Charlotte, NC, USA

4. University of Illinois at Urbana-Champaign, Champaign, IL, USA

5. MINES ParisTech PSL Research University, Paris, France

6. University of Otago, Dunedin, New Zealand

7. University of Cambridge, Cambridge, United Kingdom

8. University of British Columbia, Vancouver, BC, Canada

Funder

Engineering and Physical Sciences Research Council

National Science Foundation2

National Science Foundation

National Science Foundation3

Publisher

ACM

Cited by 61 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. Prov2vec: Learning Provenance Graph Representation for Anomaly Detection in Computer Systems;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

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. P4Control: Line-Rate Cross-Host Attack Prevention via In-Network Information Flow Control Enabled by Programmable Switches and eBPF;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Flash: A Comprehensive Approach to Intrusion Detection via Provenance Graph Representation Learning;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

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

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