I develop a novel method to detect election fraud from irregular patterns in the distribution of vote-shares. I build on awidely discussed observation that in some electionswhere fraud allegations abound, suspiciously manypolling stations return coarse vote-shares (e.g., 0.50, 0.60, 0.75) for the rulingparty,which seemshighly implausible in large electorates. Using analytical results and simula...

Online lending has exploded in China in recent years. However, the €nancial agents are vulnerable for fraud aŠacks which reults in huge €nancial losses. Anti-fraud detection methods for traditional €nancial services are less e‚ective against online frauds. As a group e‚ort at CreditX, we designed an accurate, ecient, and scalable online fraud detecting mechnism by delivering a behavior languag...

This paper describes an approach to detect risks of procurement fraud. It was developed within the context of a European Union project on fraud prevention. Procurement fraud is a special kind of fraud that occurs when employees cheat on their own employers by executing or triggering bogus payments. The approach presented here is based on the idea to learn a similarity measure that compares an e...

Online fraud, described as dubious business transactions and deceit carried out electronically, has reached an alarming rate worldwide and has become a major challenge to organizations and governments. In the Gulf region, particularly Saudi Arabia, where there is high Internet penetration and many online financial transactions, the need to put effective measures to deter, prevent and detect onl...

Extensive research has been done on the analytical and empirical examination of financial data in annual reports to detect fraud; however, there is scant research on the analysis of text in annual reports to detect fraud. The basic premise of this research is that there are clues hidden in the text that can be detected to determine the likelihood of fraud. In this research, we examine both the ...

Executive Summary Insurance fraud is the second biggest white-collar crime in the U.S. after tax evasion, according to the National Insurance Crime Bureau. As insurers deal with an uncertain economic climate and intense competition, they must also grapple with the increasing incidence and sophistication of fraud, not to mention the resulting losses. The traditional methods of identifying fraud ...

This paper addresses many important questions. Firstly, what are the main identity fraud perpetrator categories? Secondly, what are the current Information Systems (IS) facilitated attack channels and methods used by identity fraud perpetrators? Thirdly, what are the effects sustained by targeted victim organisations? The major contribution of this paper is the development of an identity fraud ...

This paper proposes a method for fraud detection in automated selection exams, using knowledge engineering tools for identifying groups of answers with a strong indication of fraud, based on probabilistic evidence. Founded on an analysis of the wrong answers of the various candidates, the proposed method enables identification of suspicions, and evidence of fraud attempts through finding candid...

Clustering analysis and Datamining methodologies were applied to the problem of identifying illegal and fraud transactions. The researchers independently developed model and software using data provided by a bank and using Rapidminer modeling tool. The research objectives are to propose dynamic model and mechanism to cover fraud detection system limitations. KDA model as proposed model can dete...