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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 | 2016/08/23 |
| 形態種別 | その他 |
| 標題 | A fuzzy hashing technique for large scale software birthmarks |
| 執筆形態 | その他 |
| 掲載誌名 | 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings |
| 出版社・発行元 | Institute of Electrical and Electronics Engineers Inc. |
| 巻・号・頁 | pp.1-6 |
| 著者・共著者 | Takehiro Tsuzaki,Teruaki Yamamoto,Haruaki Tamada,Akito Monden |
| 概要 | Software birthmarks have been proposed as a method for enabling the detection of programs that may have been stolen by measuring the similarity between the two programs. A birthmark is created from each program by extracting its native characteristics. The birthmarks of the programs can then be compared. However, because the extracted birthmarks contain a large amount of information, a large amount of time is needed when using them to compare large programs. This paper describes our work to reduce this comparison time. Achieving faster comparisons will enable the evaluation of large programs and simplify the use of birthmarks. Specifically, our method creates hashes from conventional birthmark information using fuzzy hashing, and then measures the similarity of the programs using the obtained hash values. Using the proposed method, we achieved a major speed increase over the conventional birthmark method with distinction rates of over 90%. On the other hand, because preservation performance decreased substantially, the similarity threshold value needed to be lowered when using the proposed method. |
| DOI | 10.1109/ICIS.2016.7550868 |