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Content Provider | IEEE Xplore Digital Library |
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Author | Jeong-Hoon Ji Gyun Woo Hwan-Gue Cho |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Comput. Eng., Pusan Nat. Univ. Busan, Busan (Jeong-Hoon Ji; Gyun Woo; Hwan-Gue Cho) |
Abstract | Most plagiarism detection systems evaluate the similarity of source codes and detect plagiarized program pairs. If we use the source codes in plagiarism detection, the source code security can be a significant problem. Plagiarism detection based on target code can be used for protecting the security of source codes. In this paper, we propose anew plagiarism detection technique for Java programs using bytecodes without referring their source codes. The plagiarism detection procedure using bytecode consists of two major steps. First, we generate the token sequences from the Java class file by analyzing the code area of methods. Then, we evaluate the similarity between token sequences using the adaptive local alignment. According to the experimental results, we can find the distributions of similarities of the source codes and that of bytecodes are very similar. Also, the correlation between the similarities of source code pairs and those of bytecode pairs is high enough for typical test data. The plagiarism detection system using bytecode can be used as a preliminary verifying tool before detecting the plagiarism by source code comparison. |
Starting Page | 1092 |
Ending Page | 1098 |
File Size | 399611 |
Page Count | 7 |
File Format | |
ISBN | 9780769534077 |
DOI | 10.1109/ICCIT.2008.267 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-11-11 |
Publisher Place | South Korea |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Java Similarity Humans Information technology Information analysis Plagiarism Detection Plagiarism Detectors Binary codes Bytecode National security Protection Testing |
Content Type | Text |
Resource Type | Article |
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