Implementing social network analysis for fraud prevention
ثبت نشده
چکیده
Fraud detection and analysis has traditionally involved a silo approach. Rarely does an investigator look across product lines to identify fraudulent connections. However, with the introduction of social network analysis (SNA), investigators are now able to detect data patterns within and across product lines as a potential crime ring or group is developing, saving companies from losses as the crime ring further develops. This paper introduces key ideas and concepts related to SNA, suggests an SNA approach for fraud prevention, provide a case study, and describes some of the limitations of SNA.
منابع مشابه
MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection
Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...
متن کاملAspects of Modeling Fraud Prevention of Online Financial Services
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...
متن کاملA Framework for Occupational Fraud Detection by Social Network Analysis
This paper explores issues related to occupational fraud detection. We observe over the past years, a broad use of network research across social and physical sciences including but not limited to social sharing and filtering, recommendation systems, marketing and customer intelligence, counter intelligence and law enforcement. However, the rate of social network analysis adoption in organizati...
متن کاملFraud Detection and Prevention in Smart Card Based Environments Using Artificial Intelligence
This paper discusses the development and research for the detection of fraud in Smart-Card environments by using artificial intelligence. The current research deals with behaviour based detection engine, which will detect abnormalities by learning the usual behaviour of the user and detecting new unusual behaviours. The behaviour-based detection engines is based on ‘Neural Networks’. This work ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011