In modern retail market environment, electronic commerce has rapidly gained a lot of attention and also provides instantaneous transactions. In electronic commerce, credit card has become the most important means of payment due to fast development in information technology around the world. As the usage of credit card increases in the last decade, rate of fraudulent practices is also increasing...

Recent works suggest to model the reputation of the agents in order to evaluate the sincerity of an agent. The very first step of this mechanism is the detection of fraud and lie. However, most of the works concerning reputation consider this detection as implicit either because it is obvious in their specific application or because they assume that this detection is already made. In the presen...

Given the importance of information processing capabilities in improving business performance, organisations are seeking solutions for leveraging the use of big data and analytics. An emerging application is to inform organisations of potential fraudulent behaviour, which results in reducing online fraud and its associated costs. This paper introduces a case study in which social fingerprinting...

a r t i c l e i n f o Occupational fraud is a $652 billion problem to which disgruntled employees are a major contributor. Much security research addresses reducing fraud opportunity and increasing fraud detection, but detecting motivational factors like employee disgruntlement is less studied. The Sarbanes–Oxley Act requires that companies archive email, creating an untapped resource for deter...

CREDIT CARD TRANSACTIONS CONtinue to grow in number, taking an ever-larger share of the US payment system and leading to a higher rate of stolen account numbers and subsequent losses by banks. Improved fraud detection thus has become essential to maintain the viability of the US payment system. Banks have used early fraud warning systems for some years. Large-scale data-mining techniques can im...

Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications require a new model of association between pairs of elements in streams. We develop an algorithm, Streaming-Rules, to report association rules with tight guarantees on errors, using limited processing per element, and minima...

Insurance fraud costs the property and casualty insurance industry over 25 billion dollars (USD) annually. This paper addresses workers' compensation claim fraud. A data mining approach is adopted, and issues of data preparation are discussed. The focus is on building predictive models to score an open claim for a propensity to be fraudulent. A key component to modeling is the use of textual da...

Health smart card is like ATM card which provide cash benefits to patient through insurance company for hospital and medical benefits without expending money from the patient at the time of need. But now-a-days, fraud is done using the health smart card as few patients does not know the real cost of the treatment, so doctor take more payment and benefits through health smart card and generate f...

Improving nontechnical loss detection is a huge challenge for electric companies. The great number of clients and the diversity of the different types of fraud makes this a very complex task. In this paper we present a fraud detection strategy based on class imbalance research. An automatic detection tool combining classification strategies is proposed. Individual classifiers such as One Class ...

Banking and online financial services are part of our critical infrastructure. As such, they comprise an Achilles heel in society and need to be protected accordingly. The last ten years have seen a steady shift from traditional show-off hacking towards cybercrime with great economic consequences for society. The different threats against online services are getting worse, and risk management w...