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Frauds have plagued telecommunication industries, financial institutions and other organizations for a long time. The types of frauds addressed in this paper include cellular communication frauds, credit card transaction frauds, and computer intrusions. These frauds cost the businesses millions of dollars per year. As a result, fraud detection has become an important and urgent task for these b...

There are millions of apps are available in market for the application of mobile users. However, all the mobile users first prefer high ranked apps when downloading it. But we cannot guarantee the reliability for the downloaded application since there is increasing number of ranking frauds. Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose ...

Auction frauds plague electronic auction websites. Unfortunately, no literature has tried to formulate and solve the problem. This paper aims to tackle it by suggesting a novel method to detect auction fraudsters, which involves determining and extracting characteristic features from exposed fraudsters, through analyzing the fraudsters’ transaction history which exists as a graph. We then use t...

Fraud is costing the mobile communications industry millions of pounds a year. A rapid solution is needed to reduce fraudulent activity in analogue networks and preventative measures are required to protect GSM and later UMTS. A joint European project`Advanced Security for Personal Communications Tech-nologies' (ASPeCT), part of the ACTS programme 1 , has been formed to research security issues...

Prescription fraud is a main problem that causes substantial monetary loss in health care systems. We aimed to develop a model for detecting cases of prescription fraud and test it on real world data from a large multi-center medical prescription database. Conventionally, prescription fraud detection is conducted on random samples by human experts. However, the samples might be misleading and m...

By diverting funds away from legitimate partners (a.k.a publishers), click fraud represents a serious drain on advertising budgets and can seriously harm the viability of the internet advertising market. As such, fraud detection algorithms which can identify fraudulent behavior based on user click patterns are extremely valuable. Based on the BuzzCity dataset, we propose a novel approach for cl...

Credit Card Fraud is one of the biggest threats to business establishments today. This paper presents a cascade artificial neural network for the recognition of credit card fraud detection. This system aims at attaining a very high recognition rate and a very high reliability, In other words, excellent recognition performance of credit card fraud detection was obtained. Then, One solution was p...