• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.1-7
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• 2019

Program similarity analysis consists of substantial similarity and access. Substantial similarity is a judgment of how similarly the program source code is quantitatively. Access determines the degree of similarity by analyzing comments in the program or other contextual evidence. In the case of manuals, it may be the subject of legitimacy analysis. Manuals can be divided into three types as follows. First, a master manual is a document created during the development stage of a product. It is a user manual that contains all the functionality of the product and its derivatives. Second, the customer manual is a manual that is open only to the primary customer and orderer. Third, the user manual is a document that is applied to the final OEM production stage and is open to the end purchaser. In this paper, we compare the master manual seized from the suspect and the master manual provided by the suspect on the Internet. It then determines how similar this master manual is and includes the victim company's original and property values.

• The KIPS Transactions:PartD
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• v.13D no.6 s.109
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• pp.833-838
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• 2006

Program Plagiarism is an infringement of software copyright. In detecting program plagiarism, many different source program comparison methods has been studied. But, it is not easy to detect plagiarized program that made a few cosmetic changes in program structures and variable names In this paper, we propose a new ground-breaking technique in detecting plagiarism by Memory Access Log Analysis.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1453-1462
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• 2010

In this paper, a new program recommendation system is proposed to recommend user preferred VOD program in IPTV environment. A proposed system is implemented with collaborative filtering method. For a user profile which describes user program preference, a program preference, sub-genre preference, and US(user similarity) weight of the user neighborhood is averaged and updated every week. In order to evaluate system performance, real 24-weeks cable TV watching data provided by Nilson Research Corp. are modified to fit for IPTV broadcasting environment and the simulation result shows quite comparative quality of recommendation. The experimental results optimum performance when user similarity based weighting, five person per group and five recommendation programs are used.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.37-42
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• 2019

Many similarity analysis methods, one of the dispute resolution methods for computer programs, have been studied. This paper is about quantitative similarity analysis of MIB (Management Information Base) file. Quantitative similarity means that the source codes of two computers are analyzed and the results are compared with a certain standard. The source code to analyze is a program that provides network device management functions such as configuration management, fault management, and performance management using SNMP protocol for WiMAX CPE devices. Here, WiMAX refers to the IEEE 802.16 wireless network standard protocol and can be classified into fixed WiMAX and mobile WiMAX. WiMAX CPE is a wireless Internet terminal that is fixedly used in a customer's home or office. In this paper, we analyze the similarity between MIB file of company A and company B. We will analyze whether the MIB file leaked from the damaged company is not just a list to describe the product specifications, but whether the property value can be recognized.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.353-356
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• 2017

앱 인벤터는 GUI 환경에서 블록 편집기를 사용하여 앱을 개발한다. 따라서 누구나 쉽게 앱 프로그래밍을 시작할 수 있다는 장점이 있다. 또한, 앱 인벤터의 공식 사이트의 gallery 공간에 공개된 수많은 공개 앱 소스(aia 파일)를 쉽게 구할 수 있기 때문에 다른 사람이 만든 앱의 소스를 그대로 가져다가 이미지만 바꿔서 자신이 만든 것처럼 앱을 공개할 수도 있다. 그러나 직접 블록 단위로 비교해보지 않고서는 표절이나 도용 여부를 판단하는 것은 쉽지 않다. 따라서 본 논문에서는 앱 인벤터로 개발한 앱들의 유사도를 자동으로 계산해주는 도구를 개발하였다. 원본 프로그램과 도용된 프로그램은 유사도가 높게 계산될 것임을 예상할 수 있기 때문에 유사도 계산 프로그램은 코드 도용을 확인하는 목적으로 활용될 수 있다. 본 논문에서 구현한 도구의 평가를 위해서 다양한 실험을 수행하였고, 실제로 유사도가 높았던 앱들이 서로 공통된 블록을 다수 포함하고 있음을 밝혀내었다. 이러한 실험결과를 바탕으로 우리가 개발한 도구가 앱 인벤터로 개발한 앱에 대해서 소스 표절이나 코드 도용을 탐지하는 목적으로 활용될 수 있을 것으로 기대한다.

• The KIPS Transactions:PartA
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• v.16A no.6
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• pp.453-462
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• 2009

Studies on software plagiarism detection, prevention and judgement have become widespread due to the growing of interest and importance for the protection and authentication of software intellectual property. Many previous studies focused on comparing all pairs of submitted codes by using attribute counting, token pattern, program parse tree, and similarity measuring algorithm. It is important to provide a clear-cut model for distinguishing plagiarism and collaboration. This paper proposes a source code clustering algorithm using a probability model on extreme value distribution. First, we propose an asymmetric distance measure pdist($P_a$, $P_b$) to measure the similarity of $P_a$ and $P_b$ Then, we construct the Plagiarism Direction Graph (PDG) for a given program set using pdist($P_a$, $P_b$) as edge weights. And, we transform the PDG into a Gumbel Distance Graph (GDG) model, since we found that the pdist($P_a$, $P_b$) score distribution is similar to a well-known Gumbel distribution. Second, we newly define pseudo-plagiarism which is a sort of virtual plagiarism forced by a very strong functional requirement in the specification. We conducted experiments with 18 groups of programs (more than 700 source codes) collected from the ICPC (International Collegiate Programming Contest) and KOI (Korean Olympiad for Informatics) programming contests. The experiments showed that most plagiarized codes could be detected with high sensitivity and that our algorithm successfully separated real plagiarism from pseudo plagiarism.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.1-8
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• 2020

The similarity detection to plagiarism or duplication of computer programs requires a different type of analysis methods and tools according to the programming language used in the implementation and the sort of code to be analyzed. In recent years, the similarity appraisal for the object code in the embedded system, which requires a considerable resource along with a more complicated procedure and advanced skill compared to the source code, is increasing. In this study, we described a method for analyzing the similarity of functional units in the assembly language through the conversion of object code using the reverse engineering approach, such as the reverse assembly technique to the object code. The instruction and operand table for comparing the similarity is generated by using the syntax analysis of the code in assembly language, and a tool for detecting the similarity is designed.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.685-694
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• 2003

This paper has been studied on the prevent of "program reproduce" and "partial modification" in computer programming. The system is made for the improvement for the prevention of prevailing "program reproduce" and "program partial modification", this research will be helpful to the student who is interested in depth study programmer. The research using AST will do the work such as finding errors of program and will evaluate how much each program is similar to each other. The research using AST will show you, on the screen, by using pictures how much each programs are assimilated. This system supports all of technique available in various forms on the areas of cyber education at present, cyber university, lecture on demand, electronic library, etc. It is expected that the new system can be contributed to opening the new chapter of computer education.g the new chapter of computer education.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.497-501
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• 2010

A software montage means information that can be extracted quickly from software and includes inherent characteristics. If a montage is made from well-known programs, we can filter candidates of similar programs among the group of programs based on the montage. In this paper, we suggest software montages based on two characteristics: API calls and strings. To evaluate the proposed montages, we performed experiments to filter candidates of some similar programs to instant messenger programs. From the experiments, we confirmed that the proposed montages can be used as a forensic tool that filters a group of similar programs even when their functions are not known in advance.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.792-795
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• 2012

최근 오픈 소스 커뮤니티가 활성화되고 수많은 오픈 소스들이 공개되고 있어서 많은 개발자들이 오픈 소스를 활용하고 있다. 그러나 오픈 소스도 정해진 라이선스 기반으로 공개되므로 오픈 소스를 사용할 때는 반드시 라이선스를 확인해야 한다. 본 논문에서는 안드로이드 앱의 라이선스 위반이나 코드 도용을 확인할 수 있는 방법으로서 안드로이드 앱 사이의 API 메소드 호출 유사도를 측정하는 방법을 제안한다. 원본 프로그램과 도용된 프로그램은 유사한 API 메소드를 사용할 것임을 예상할 수 있기 때문에 API 메소드 호출이 유사한 것을 확인하면 간접적으로 코드 도용을 확인할 수 있다. 본 논문에서 개발한 API 유사도 측정 도구는 안드로이드 앱의 소스 코드를 필요로 하지 않고, 안드로이드 달빅(Dalvik) 바이트 코드로부터 직접 API 호출 명령어를 분석하여 유사도를 측정한다는 특징이 있다. 본 논문에서 구현한 도구의 평가를 위해서 API 호출 유사도 비교 실험을 수행하였다. 그 결과, 실제로 API 호출 유사도가 높았던 두 앱이 서로 공통된 모듈을 포함하고 있음을 밝혀내었다. 그리고 선행 연구에서 제안했었던 안드로이드 달빅 코드 전체에 대한 유사도 비교 도구보다 비교 속도가 35% 정도 향상된 것을 확인하였다.