Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3633-8
Abstract: Real-time fraud detection in credit card transactions is challenging due to the intrinsic properties of transaction data, namely data imbalance, noise, borderline entities and concept drift. The advent of mobile payment systems has further complicated… read more here.
Keywords: fraud detection; model; credit card; data imbalance ... See more keywords
Customs fraud detection
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00852-w
Abstract: In this customs fraud detection application, we analyse a unique data set of 9,624,124 records resulting from a collaboration with the Belgian customs administration. They are faced with increasing levels of international trade, which pressurizes… read more here.
Keywords: fraud detection; methodology; fraud; customs fraud ... See more keywords
Fraud detection for job placement using hierarchical clusters-based deep neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01419-2
Abstract: Fraud detection is becoming an integral part of business intelligence, as detecting fraud in the work processes of a company is of great value. Fraud is an inhibitory factor to accurate appraisal in the evaluation… read more here.
Keywords: deep neural; neural networks; hierarchical clusters; fraud detection ... See more keywords
Election Forensics: Quantitative methods for electoral fraud detection.
Sign Up to like & getrecommendations! Published in 2019 at "Forensic science international"
DOI: 10.1016/j.forsciint.2018.11.010
Abstract: The last decade has witnessed an explosion on the computational power and a parallel increase of the access to large sets of data - the so called Big Data paradigm - which is enabling to… read more here.
Keywords: forensics quantitative; fraud detection; election forensics;
A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.134
Abstract: Abstract Fraud detection is essential for e-commerce platforms to maintain a fair business environment. Many existing works propose manually designed methods such as label propagation and dense block mining rules on built user-item graphs to… read more here.
Keywords: collective fraud; subgraph based; knowledge reasoning; fraud detection ... See more keywords
Cooperative Fraud Detection Model With Privacy-Preserving in Real CDR Datasets
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2935759
Abstract: The researchers have shown broad concern about detection and recognition of fraudsters since telecommunication operators and the individual user are both suffering significant losses from fraud activities. Researchers have proposed various solutions to counter fraudulent… read more here.
Keywords: fraud; model; fraud detection; privacy ... See more keywords
Online Recruitment Fraud Detection: A Study on Contextual Features in Australian Job Industries
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3197225
Abstract: The purpose of this study is to investigate the effects of contextual features on automatic detection accuracy of online recruitment frauds in Australian job market. In addition, the study aims to unearth the significance of… read more here.
Keywords: contextual features; fraud detection; online recruitment; study ... See more keywords
HearLiquid: Nonintrusive Liquid Fraud Detection Using Commodity Acoustic Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3144427
Abstract: Liquid fraud has plagued people with huge health risks. Liquid fraud detection can help to reduce the risk of liquid hazards. However, existing systems that use biochemical tools or radio frequency signals for liquid sensing… read more here.
Keywords: liquid fraud; fraud detection; detection; acoustic devices ... See more keywords
ReMEMBeR: Ranking Metric Embedding-Based Multicontextual Behavior Profiling for Online Banking Fraud Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3052950
Abstract: Anomaly detection relies on individuals’ behavior profiling and works by detecting any deviation from the norm. When used for online banking fraud detection, however, it mainly suffers from three disadvantages. First, for an individual, the… read more here.
Keywords: fraud detection; online banking; embedding based; behavior ... See more keywords
Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2020.2991872
Abstract: The vigorous development of e-commerce breeds cybercrime. Online payment fraud detection, a challenge faced by online service, plays an important role in rapidly evolving e-commerce. Behavior-based methods are recognized as a promising method for online… read more here.
Keywords: fraud detection; behavior based; payment; online payment ... See more keywords
Fraud Detection in Electric Power Distribution: An Approach That Maximizes the Economic Return
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2019.2928276
Abstract: The detection of non-technical losses (NTL) is a very important economic issue for power utilities. Diverse machine learning strategies have been proposed to support electric power companies tackling this problem. Methods performance is often measured… read more here.
Keywords: power; electric power; fraud detection; economic return ... See more keywords