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PROGRAM CHARACTERIZATION USING RUNTIME VALUES AND ITS APPLICATION TO SOFTWARE PLAGIARISM DETECTION

ABSTRACT

              Identifying similar or identical code fragments becomes much more challenging in code theft cases where plagiarizers can use various automated code transformation or obfuscation techniques to hide stolen code from being detected.  Illegal code reuse has become a serious threat to the software community. Previous works in this field are largely limited in that (i) most of them cannot handle advanced obfuscation techniques, and (ii) the methods based on source code analysis are not practical since the source code of suspicious programs typically cannot be obtained until strong evidences have been collected. Based on the observation that some critical runtime values of a program are hard to be replaced or eliminated by semantics-preserving transformation techniques, we introduce a novel approach to dynamic characterization of executable programs. Leveraging such invariant values, our technique is resilient to various control and data obfuscation techniques. We show how the values can be extracted and refined to expose the critical values and how we can apply this runtime property to help solve problems in software plagiarism detection. We have implemented a prototype with a dynamic taint analyzer atop a generic processor emulator. Our value-based plagiarism detection method (VaPD) uses the longest common subsequence based similarity measuring algorithms to check whether two code fragments belong to the same lineage. We evaluate our proposed method through a set of real-world automated obfuscators. Our experimental results show that the value-based method successfully discriminates 34 plagiarisms obfuscated by SandMark, plagiarisms heavily obfuscated by KlassMaster, programs obfuscated by Thicket, and executables obfuscated by Loco/Diablo.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- Previous works are largely insufficient in meeting the following two highly desired requirements: Resiliency to the automated semantics-preserving obfuscation tools that can easily transform most of the syntactic features such as strings Ability to directly work on binary executables of suspected programs since, in some applications such as code theft cases, the source code of suspect software products often cannot be obtained until some strong evidences have been collected	PROPOSED CONCEPT:- We present a novel code characterization method based on runtime values. To our best knowledge, our work is the first one exploring the existence of the core-values. By exploiting runtime values that can hardly be changed or replaced, our code characterization technique is resilient to various control and data obfuscation techniques. It does not require access to source code of suspicious programs, thus it could greatly reduce plaintiff’s risks through providing strong evidences before filing a lawsuit related to intellectual property.
EXISTING TECHNIQUE:- Code Obfuscation Techniques	PROPOSED TECHNIQUE:- VaPD(value-based plagiarism detection method)
TECHNIQUE DEFINITION:- Code obfuscation is a semantics-preserving transformation to hinder figuring out the original form of the resulting code.	TECHNIQUE DEFINITION:- VaPD method uses the longest common subsequence based similarity measuring algorithms to check whether two code fragments belong to the same lineage.
DRAWBACKS:- Besides the ability of extracting value sequences from the entire scope of the plaintiff program. It is not effective.	ADVANTAGES:- VaPD provides the partial extraction mode. Is effective in identifying software plagiarism.