Software Plagiarism Detection with Birthmarks Based on Dynamic Key Instruction Sequences
نویسندگان
چکیده
منابع مشابه
DBPD: A Dynamic Birthmark-based Software Plagiarism Detection Tool
With the burst of open source software, software plagiarism has been a serious threat to the software industry. In this paper, we present the demo tool DBPD: Dynamic Birthmark-based Software Plagiarism Detection. Major features of DBPD could be summarized as: 1) dynamic birthmark. The execution process of software is captured to generate the birthmark reflecting intrinsic properties of software...
متن کاملEfficient Virus Detection Using Dynamic Instruction Sequences
In this paper, we present a novel approach to detect unknown virus using dynamic instruction sequences mining techniques. We collect runtime instruction sequences from unknown executables and organize instruction sequences into basic blocks. We extract instruction sequence patterns based on three types of instruction associations within derived basic blocks. Following a data mining process, we ...
متن کاملPlagiarism Detection Software
Plagiarism is a pervasive form of academic dishonesty in collegiate settings. Since it distorts learning and assessment, deterring and detecting it are crucial to maintaining academic integrity. Large class sizes and an increase in writing assignments that result from writing across the curriculum combine to make detection of plagiarism burdensome. The concomitant rapid increase of written mate...
متن کاملEnglish-Persian Plagiarism Detection based on a Semantic Approach
Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), translation, and combinatory. This paper addresses translational plagiarism which is sometimes referred to as cross-li...
متن کاملSoftware metrics and plagiarism detection
The reliability of plagiarism detection systems, which try to identify similar programs in large populations, is critically dependent on the choice of program representation. Software metrics conventionally used as representations are described, and the limitations of metrics adapted from software complexity measures are outlined. An applicationspecific metric is proposed, one that represents t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Software Engineering
سال: 2015
ISSN: 0098-5589,1939-3520,2326-3881
DOI: 10.1109/tse.2015.2454508