K-gram software birthmarks

Ginger Myles; Christian Collberg

doi:10.1145/1066677.1066753

K-gram software birthmarks

Ginger Myles, Christian Collberg

Computer Science

Research output: Contribution to conference › Paper › peer-review

164 Scopus citations

Abstract

Software birthmarking relies on unique characteristics that are inherent to a program to identify the program in the event of suspected theft. In this paper we present and empirically evaluate a novel birthmarking technique which uniquely identifies a program through instruction sequences. To evaluate the strength of the birthmarking technique we examine two properties: credibility and resilience to semantics-preserving transformations. We show that the technique provides both high credibility and resilience. Additionally, it complements previously proposed static birthmarking techniques.

Original language	English (US)
Pages	314-318
Number of pages	5
DOIs	https://doi.org/10.1145/1066677.1066753
State	Published - 2005
Event	20th Annual ACM Symposium on Applied Computing - Santa Fe, NM, United States Duration: Mar 13 2005 → Mar 17 2005

Other

Other	20th Annual ACM Symposium on Applied Computing
Country/Territory	United States
City	Santa Fe, NM
Period	3/13/05 → 3/17/05

Keywords

Software birthmarking
Software theft detection

ASJC Scopus subject areas

Software

Access to Document

10.1145/1066677.1066753

Cite this

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title = "K-gram software birthmarks",

abstract = "Software birthmarking relies on unique characteristics that are inherent to a program to identify the program in the event of suspected theft. In this paper we present and empirically evaluate a novel birthmarking technique which uniquely identifies a program through instruction sequences. To evaluate the strength of the birthmarking technique we examine two properties: credibility and resilience to semantics-preserving transformations. We show that the technique provides both high credibility and resilience. Additionally, it complements previously proposed static birthmarking techniques.",

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AU - Collberg, Christian

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AB - Software birthmarking relies on unique characteristics that are inherent to a program to identify the program in the event of suspected theft. In this paper we present and empirically evaluate a novel birthmarking technique which uniquely identifies a program through instruction sequences. To evaluate the strength of the birthmarking technique we examine two properties: credibility and resilience to semantics-preserving transformations. We show that the technique provides both high credibility and resilience. Additionally, it complements previously proposed static birthmarking techniques.

KW - Software birthmarking

KW - Software theft detection

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T2 - 20th Annual ACM Symposium on Applied Computing

Y2 - 13 March 2005 through 17 March 2005

ER -

K-gram software birthmarks

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

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