Digging into big provenance (with SPADE)-Reference-Cited by-同舟云学术

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Digging into big provenance (with SPADE)

Published:2021-12 Issue:12 Volume:64 Page:48-56
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Gehani Ashish¹,Ahmad Raza²,Irshad Hassaan³,Zhu Jianqiao⁴,Patel Jignesh⁵

Affiliation:

1. SRI in Menlo Park, CA

2. DePaul University. Chicago, IL

3. SRI, Menlo Park, CA

4. Google

5. University of Wisconsin, Madison, WI

Abstract

A user interface for querying provenance.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3475358

Reference13 articles.

1. Gehani A. SPADE; http://spade.csl.sri.com. Gehani A. SPADE; http://spade.csl.sri.com.

2. Mendel

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1. Efficient Differencing of System-level Provenance Graphs;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

2. Towards Reproducible Ransomware Analysis;2023 Cyber Security Experimentation and Test Workshop;2023-08-07

3. TeSec: Accurate Server-side Attack Investigation for Web Applications;2023 IEEE Symposium on Security and Privacy (SP);2023-05

4. XFedGraph-Hunter: An Interpretable Federated Learning Framework for Hunting Advanced Persistent Threat in Provenance Graph;Information Security Practice and Experience;2023

5. PACED: Provenance-based Automated Container Escape Detection;2022 IEEE International Conference on Cloud Engineering (IC2E);2022-09

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