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Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud. Expert systems to encode expertise for detecting ...
Credit card fraud. A fake automated teller slot used for "skimming". Credit card fraud is an inclusive term for fraud committed using a payment card, such as a credit card or debit card. [ 1] The purpose may be to obtain goods or services or to make payment to another account, which is controlled by a criminal.
Luhn algorithm. The Luhn algorithm or Luhn formula, also known as the " modulus 10" or "mod 10" algorithm, named after its creator, IBM scientist Hans Peter Luhn, is a simple check digit formula used to validate a variety of identification numbers. It is described in US patent 2950048A, granted on 23 August 1960. [ 1]
The Payment Card Industry Data Security Standard ( PCI DSS) is an information security standard used to handle credit cards from major card brands. The standard is administered by the Payment Card Industry Security Standards Council, and its use is mandated by the card brands. It was created to better control cardholder data and reduce credit ...
Cifas is a fraud prevention service in the United Kingdom. It is a not-for-profit membership association representing organisations from across the public, private and voluntary sectors. Cifas states its mission is "to detect, deter and prevent fraud in society by harnessing technology and working in partnership". [ 1]
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), [ 1] and deriving a conclusion from them. Complex event processing ( CEP) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from ...
Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [4]
Information about a person's financial transactions, including the amount of assets, positions held in stocks or funds, outstanding debts, and purchases can be sensitive. If criminals gain access to information such as a person's accounts or credit card numbers, that person could become the victim of fraud or identity theft. Information about a ...