A new detection scheme of software copyright infringement using software birthmark on windows systems

Han, Yongman; Choi, Jongcheon; Cho, Seong-Je; Yoo, Hoon; Woo, Jinwoon; Nah, Yunmook; Park, Minkyu

doi:10.2298/csis130918064h

Cited by 4 publications

(14 citation statements)

References 13 publications

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“…The most recent API-based software birthmark technique was proposed by Han et al [28]. They generated a birthmark based on a program's API call sequence.…”

Section: Api-based Birthmarksmentioning

confidence: 99%

“…In this study, we intend to resolve the limitations of the software birthmarking technique proposed by Han et al in [28]. Our proposed software birthmarking method extracts API call sequences in the segmented procedures for the native code of a program and then generates the sequences through a fuzzy hash function.…”

Section: Api-based Birthmarksmentioning

confidence: 99%

“…• We improve the most recent API-based software birthmarking technique, which is proposed in [28]. Detailed descriptions of the shortcomings of that method are provided in Sect.…”

Section: Api-based Birthmarksmentioning

confidence: 99%

“…2, we explain relevant existing knowledge to elucidate our proposed method. The software birthmarking technique proposed in [28] is refined in this study. We describe that existing technique and its problems in Sect.…”

Section: Api-based Birthmarksmentioning

confidence: 99%

“…The most recent API-based software birthmarking method (Han et al, 2014) extracts API call sequences in entire code sections of a program. Additionally, it is generated as a birthmark using a cryptographic hash function (MD5).…”

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confidence: 99%

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API-Based Software Birthmarking Method Using Fuzzy Hashing

Lee

Kang

Choi

et al. 2016

IEICE Trans. Inf. & Syst.

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Donghoon LEE†a) , Dongwoo KANG †b) , Younsung CHOI † †c) , Jiye KIM †d) , Nonmembers, and Dongho WON †e) , Member SUMMARY The software birthmarking technique has conventionally been studied in fields such as software piracy, code theft, and copyright infringement. The most recent API-based software birthmarking method (Han et al., 2014) extracts API call sequences in entire code sections of a program. Additionally, it is generated as a birthmark using a cryptographic hash function (MD5). It was reported that different application types can be categorized in a program through prefiltering based on DLL/API numbers/names. However, similarity cannot be measured owing to the cryptographic hash function, occurrence of false negatives, and it is difficult to functionally categorize applications using only DLL/API numbers/names. In this paper, we propose an API-based software birthmarking method using fuzzy hashing. For the native code of a program, our software birthmarking technique extracts API call sequences in the segmented procedures and then generates them using a fuzzy hash function. Unlike the conventional cryptographic hash function, the fuzzy hash is used for the similarity measurement of data. Our method using a fuzzy hash function achieved a high reduction ratio (about 41% on average) more than an original birthmark that is generated with only the API call sequences.In our experiments, when threshold ε is 0.35, the results show that our method is an effective birthmarking system to measure similarities of the software. Moreover, our correlation analysis with top 50 API call frequencies proves that it is difficult to functionally categorize applications using only DLL/API numbers/names. Compared to prior work, our method significantly improves the properties of resilience and credibility. key words: software birthmark, birthmarking systems, software similarity, fuzzy hash, API-based sequences

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“…The most recent API-based software birthmark technique was proposed by Han et al [28]. They generated a birthmark based on a program's API call sequence.…”

Section: Api-based Birthmarksmentioning

confidence: 99%

Section: Api-based Birthmarksmentioning

confidence: 99%

“…• We improve the most recent API-based software birthmarking technique, which is proposed in [28]. Detailed descriptions of the shortcomings of that method are provided in Sect.…”

Section: Api-based Birthmarksmentioning

confidence: 99%

Section: Api-based Birthmarksmentioning

confidence: 99%

mentioning

confidence: 99%

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API-Based Software Birthmarking Method Using Fuzzy Hashing

Lee

Kang

Choi

et al. 2016

IEICE Trans. Inf. & Syst.

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The effects of product development network positions on product performance and confidentiality performance

Lan

Massimino

Gray

et al. 2020

J of Ops Management

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Product development networks facilitate access to information, knowledge, and technologies that are otherwise difficult to obtain during innovation activities. Most current research on networks focuses on studying product performance benefits, but ignores the potential negative effects on confidentiality performance. Addressing this gap, we investigate how two key components of a firm's network position-network centrality and structural holes-affect both product and confidentiality performance. To do this, we assemble a panel of 1,468 electronic video games designed and developed by 591 developers over an 11-year period. We find that higher network centrality relates to better product performance but worse confidentiality performance. Meanwhile, firms spanning more structural holes enjoy better performance across both dimensions. In an exploratory analysis, we find that product novelty strengthens the positive relationship between network centrality and product performance but mutes the positive relationship between structural holes and product performance. We discuss the importance of these findings to the literature on innovation in inter-organizational networks.

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Providing Software Asset Management Compliance in Green Deployment Algorithm

Baillon-Bachoc

Caron

Chevalier

et al. 2021

Lecture Notes in Electrical Engineering

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Today, the use of software is generally regulated by licenses, whether they are free or paid and with or without access to their sources. The world of licenses is very vast and unknown. Often only the public version is known (a software purchase corresponds to a license). For enterprises, the reality is much more complex, especially for main software publishers. Very few, if any, deployment algorithm takes Software Asset Management (SAM) considerations into account when placing software on Cloud architecture. This could have huge financial impact on the company using theses software. In this article, we present the SAM problem more deeply, then, after expressing our problem mathematically, we present GreenSAM, our multi-parametric heuristic handling performance and energy parameters as well as SAM considerations. We will then show the use of this heuristic on two realistic situations, first with an Oracle Database deployment and second with a larger scenario of managing a small OpenStack platform deployment. In both cases, we will compare GreenSAM with other heuristics to show how it handles the performance/energy criteria and the SAM compliance.

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A new detection scheme of software copyright infringement using software birthmark on windows systems

Cited by 4 publications

References 13 publications

API-Based Software Birthmarking Method Using Fuzzy Hashing

API-Based Software Birthmarking Method Using Fuzzy Hashing

The effects of product development network positions on product performance and confidentiality performance

Providing Software Asset Management Compliance in Green Deployment Algorithm

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