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41 articles for “Fraud”
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Research ArticleOpen accessIn the keywordsOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based PlatformPreeti Sharma, Meenakshi Malik, Chander Prabha et al.The conventional vehicle insurance claim and settlement landscape is characterised by significant inefficiencies, including cumbersome claim submissions, arbitrary damage assessments, and susceptibility to fraudulent activities. These problems lead to a longer processing time, higher operational cost to the insurers and a reduction in policyholder satisfaction. To address these important challenges, this study proposes a streamlined vehicle insurance claims system that … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,628 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public SectorMelissa K. Chinyemba, Jackson PhiriInsider attacks are security breaches posed by an existing or former organizational stakeholder with unrestricted access rights to the resources who, with or without intent, compromises the confidentiality, integrity and availability of organizational data. Zambian public organizations are vulnerable to insider attacks due to a number of factors that include; technology complexity, understaffing, financial gains, lack of security policies and … …Journal of Computer Science, Vol. 14, Issue 10 · 29 Oct 2018 · 8,249 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetection and Solutions for Non-Technical Losses in Cameroon Electricity NetworkLekini Nkodo Claude Bernard, Ndzana Benoît, Oumarou Hamandjoda, Fippo Fitime LouisThe purpose of this study was to provide a tool to detect NTLs and subsequently, discuss the establishment of a prepaid system in Cameroon. The conception of a prepayment system for electric power or other utility commodity distribution using Wi-Fi and GSM to store and transfer value (money or KWh, meters reading indexes) from the client module to cut-off module … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 25 Jan 2018 · 7,370 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe use of Expected Utility Theory (EUT) in Taxpayers' Behaviour ModellingFarid Ameur, Mohamed TkiouatIn this study, we analyze taxpayers' behaviour regarding tax system. We present a theoretical study of a model pre established by other authors based on the expected utility theory; taxpayer's behavior is assumed to be risk-averse. We have released some conditions of this model and we have introduced a new parameter reflecting the efficiency of tax control; we found that … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,522 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Customer Behaviour Irregularities in Cameroon Electricity Network using Support Vector MachineLekini Nkodo Claude Bernard, Ndzana Benoît, Oumarou HamandjodaNon-Technical Losses (NTLs) in the Cameroonians electricity network are approximately 30 to 40% of production and are estimated at several billion CFA francs per year for National Electricity Company (ENEO); Hence the importance of finding effective solutions to fight against these losses. The purpose of this work was to develop a tool for the fraud detection for Cameroon National Electricity … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 6 Jan 2017 · 7,544 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBig Data in Medical Applications and Health CareLidong Wang, Cheryl Ann AlexanderBig Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept … …Current Research in Medicine, Vol. 6, Issue 1 · 15 May 2015 · 14,953 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Review on Data Mining in Banking SectorVikas Jayasree, Rethnamoney Vijayalakshmi Siva BalanThe banking industry has undergone various changes in the way they conduct the business and focus on modern technologies to compete the market. The banking industry has started realizing the importance of creating the knowledge base and its utilization for the benefits of the bank in the area of strategic planning to survive in the competitive market. In the modern … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 9,482 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain Based Solution for Secure and Efficient Agricultural Supply Chain SystemsYassir Farooqui, Syed Ibad Ali, Kush Bhushanwar et al.The agricultural supply chain forms the backbone for feeding the world and supporting economies, but there is always a challenge to it such as traceability, inefficiencies, fraud risk, and poor transparency. Trust is hampered as many traditional systems still depend on manual procedures and distributed data records. So as to overcome the issues and improve the security, overall effectiveness, and … …Journal of Computer Science, Vol. 22, Issue 10 · 28 Sep 2026 · 613 accessesView PDFCite