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タマダ ハルアキ
TAMADA HARUAKI
玉田 春昭 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017/07/01 |
| 形態種別 | その他 |
| 標題 | Scaling up software birthmarks using fuzzy hashing |
| 執筆形態 | その他 |
| 掲載誌名 | International Journal of Software Innovation |
| 出版社・発行元 | Taru Publications |
| 巻・号・頁 | 5(3),pp.89-102 |
| 著者・共著者 | Takehiro Tsuzaki,Teruaki Yamamoto,Haruaki Tamada,Akito Monden |
| 概要 | To detect the software theft, software birthmarks have been proposed. Software birthmark systems extract software birthmarks, which are native characteristics of software, from binary programs, and compare them by computing the similarity between birthmarks. This paper proposes a new procedure for scaling up the birthmark systems. While conventional birthmark systems are composed of the birthmark extraction phase and the birthmark comparison phase, the proposed method adds two new phases between extraction and comparison, namely, compression phase, which employs fuzzy hashing, and pre-comparison phase, which aims to increase distinction property of birthmarks. The proposed method enables us to reduce the required time in the comparison phase, so that it can be applied to detect software theft among many larger scale software products. From an experimental evaluation, the authors found that the proposed method significantly reduces the comparison time, and keeps the distinction performance, which is one of the important properties of the birthmark. Also, the preservation performance is acceptable when the threshold value is properly set. |
| DOI | 10.4018/IJSI.2017070107 |
| ISSN | 2166-7179 |