Identifying Malicious Threats to Scientific Data Integrity Using MITRE ATT&CK®

dc.contributor.author	Adams, Emily K.
dc.date.accessioned	2022-08-17T15:08:17Z
dc.date.available	2022-08-17T15:08:17Z
dc.date.issued	2022-08
dc.description.abstract	In this paper malicious tactics and techniques leveraged to explicitly manipulate the integrity of transient workflow data, data products, or derived metadata within scientific workflows are considered. This document leverages the MITRE ATT&CK Enterprise knowledge base of adversary tactics and techniques, based on real-world observations, as the foundation for a scoped analysis enumerating malicious attacks against data integrity within scientific workflows.
dc.description.sponsorship	National Science Foundation (NSF) - grant 1839900
dc.identifier.uri	https://hdl.handle.net/2022/28045
dc.language.iso	en
dc.rights	This work is under a CC BY-SA license. You are free to copy and redistribute the material in any format as well as remix, transform, and build upon the material as long as you give appropriate credit to the original creator, provide a link to the license, and indicate any changes made. You must distribute any contributions under an identical license.
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.subject	cybersecurity, data integrity, scientific workflow, threat model, OSCRP, MITRE ATT&CK
dc.title	Identifying Malicious Threats to Scientific Data Integrity Using MITRE ATT&CK®
dc.type	Technical Report

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