Stop Stealing My Data: Sanitizing Stego Channels in 3D Printing Design Files-Reference-Cited by-同舟云学术

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Stop Stealing My Data: Sanitizing Stego Channels in 3D Printing Design Files

Published:2024-06-19 Issue: Volume:5 Page:211-220
ISSN:
Container-title:Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy
language:
Short-container-title:

Author:

Dolgavin Aleksandr¹^ORCID,Yampolskiy Mark¹^ORCID,Yung Moti²^ORCID

Affiliation:

1. Auburn University, Auburn, AL, USA

2. Google LLC & Columbia University, New York, New York, USA

Funder

National Institute of Standards and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626232.3653276

Reference51 articles.

1. 2014. The Stanford 3D Scanning Repository. http://graphics.stanford.edu/data/3Dscanrep/. (2014). http://graphics.stanford. edu/data/3Dscanrep/

2. 3D Directory website. 2024. 3D Printing Company Directory. (2024). https: //www.3d.directory/directory/3d-printing-services

3. Sofia Belikovetsky Mark Yampolskiy Jinghui Toh and Yuval Elovici. 2016. dr0wned-Cyber-Physical Attack with Additive Manufacturing. (2016).

4. Sofia Belikovetsky, Mark Yampolskiy, Jinghui Toh, Jacob Gatlin, and Yuval Elovici. 2017. dr0wned -- Cyber-Physical Attack with Additive Manufacturing. In 11th USENIX Workshop on Offensive Technologies (WOOT 17). USENIX Association, Vancouver, BC, 16. https://www.usenix.org/conference/woot17/workshopprogram/ presentation/belikovetsky

5. Applications of Explicit Non-Linear Feature Maps in Steganalysis

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