Source code plagiarism is a common occurrence in undergraduate computer science education. In order to identify such cases, many source detection tools have been proposed. A tool evaluates pairs of assignment submissions detect indications plagiarism. However, plagiarising student will commonly apply plagiarism-hiding modifications an attempt evade detection. Subsequently, prior work has implie...

This paper presents a toolbox that has been developed in order to facilitate the inspection of suspected music plagiarism cases. The basic concept is the use of techniques from Music Information Retrieval for semi-automatic inspection of original and suspect song. Basic types of music plagiarism are discussed. Several signal processing approaches suitable to reveal these types are introduced. T...

One of the main research issues in forensic computing is to protect intellectual properties. Logo images, one type of intellectual properties, are posted in the Internet and widely available. Logo image plagiarism and theft are not unusual. Detection and localization of logo image plagiarism are crucial to protect logo intellectual property. In recent years, logo images that are written in Scal...

The MOOC’s (Massive open online classes) have ushered in a new era of learning overcoming the boundaries of time and geography to provide high quality education to masses who cannot afford university education. The major drawback however is that although they have best tried to capture classroom environment but facets such as teacher-student interaction and the usefulness of assignments as a so...

Automatic text re-use detection is the task of determining whether a text has been produced by considering another as its source. Plagiarism, the unacknowledged re-use of text, is probably the most famous kind of re-use. Favoured by the easy access to information through electronic media, plagiarism has raised in recent years, requesting for the attention of experts in text analysis. Automatic ...

In this paper, we describe our approach at the PAN 2012 plagiarism detection competition. Our candidate retrieval system is based on extraction of three different types of web queries with narrowing their execution by skipping certain passages of an input document. Our detailed comparison system detects common features of input document pair, computing valid intervals from them, and then mergin...

background: this study was conducted to develop a questionnaire in order to evaluate knowledge, attitude and practice (kap) of the faculty members and students toward plagiarism. methods: a kap study was conducted from june to october 2011 enrolling 390 volunteers anonymously (response rate 96%). the questionnaire included the following four parts: (a) general characteristics like gender, acade...

Although the exponential growth of the internet has made it easier than ever to carry out plagiarism, it has also made it much easier to detect. This paper will give an overview of the many different methods of detecting web-based plagiarism which are currently available, assessing practical matters such as cost, functionality and performance. Different types of plagiarism detection services wi...