LLWM & IR-Mark: Integrating Software Watermarks into an LLVM-based Framework
Novac D, Eichler C, Philippsen M (2021)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2021
Publisher: ACM
City/Town: New York
Pages Range: 35-41
Conference Proceedings Title: Checkmate '21: Proceedings of the 2021 Research on offensive and defensive techniques in the Context of Man At The End (MATE) Attacks
Event location: Republic of Korea
ISBN: 978-1-4503-8552-7
Abstract
While software protection mechanisms, such as DRM and online services, hinder the unrestrained duplication of games and applications, these mechanisms fail at protecting individual software components from reuse by intellectual property thieves. While conceptually watermarking can discourage software misuse and allows proof of ownership, embedding watermarks requires expert knowledge. This is why software watermarks are barely used.
This paper presents LLWM, an LLVM-based watermarking framework that automates the embedding of watermarks and thus enables the widespread use of watermarking. LLWM incorporates several (adapted) implementations of existing watermarking techniques and provides the foundation for IR-Mark, a new watermarking technique based on a modified register allocation. With LLWM, built upon LLVM and its compiler Clang, developers can use a watermark simply by compiling their codes, without the obstacle of having to understand and run existing methods and standalone tools.
With the methods included in LLWM, we offer a variety of choices for embedding techniques and evaluate and discuss their characteristics and resilience against common attacks.
Authors with CRIS profile
Daniela Novac
Lehrstuhl für Informatik 2 (Programmiersysteme)
Christian Eichler
Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)
Michael Philippsen
Lehrstuhl für Informatik 2 (Programmiersysteme)
Related research project(s)
How to cite
APA:
Novac, D., Eichler, C., & Philippsen, M. (2021). LLWM & IR-Mark: Integrating Software Watermarks into an LLVM-based Framework. In Checkmate '21: Proceedings of the 2021 Research on offensive and defensive techniques in the Context of Man At The End (MATE) Attacks (pp. 35-41). Republic of Korea, KR: New York: ACM.
MLA:
Novac, Daniela, Christian Eichler, and Michael Philippsen. "LLWM & IR-Mark: Integrating Software Watermarks into an LLVM-based Framework." Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (CCS'21), Workshop on Offensive and Defensive Techniques in the Context of Man At The End (MATE) Attacks (Checkmate ’21), Republic of Korea New York: ACM, 2021. 35-41.
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