Academic literature on the topic 'Subscription fraud'

Nowadays, telecom services are becoming an essential communication and business facilitators. However, the development of telecom services motivates fraudsters for illegal use. Hence, telecom fraud becomes a serious challenge in telecommunication sector by losing telecom revenue. It also results in poor quality of services for their customers. Telecom data, SMS and voice call are not free from security issues. Despite SMS, and USSD services becomes good options over installable mobile based or web based applications due to lesser cost and real time support, the methods provide fixed amount requirements which is not dynamic way to address the need of these services subscribers. The other challenge of these services is that; the services are not safe from frauds as such, especially in GSM switches. Subscription fraud is one type of fraud in today’s telecom business which is a common telecom fraud. The need of fraudsters is to make money illegally or getting telecom services with the intention of not to pay for the service they used. The prime objective of this study is to build a predictive model using deep auto-encoder to detect subscription fraud in case of Ethiotelecom. The performance of fraud detection model is 98.95% validation accuracy on ethiotelecom call detail record dataset using deep neural network autoencoder and CNN-LSTM autoencder algorithms at threshold of 0.0103 and 0173 respectively.

This study examines the efficiency of implementing internal controls on parking fee collections by the Transportation Department of Kediri Regency. It primarily focuses on evaluating the effectiveness of control measures over both regular and subscription parking fees, which contribute to the region’s locally generated revenue (PAD). The methodology involved interviews and document analysis to assess the accounting systems and collection procedures in place.The subscription parking levy procedure starts with the head of the department ordering the data collection, after that the head of the regional police department collects the subscription parking levy data, then the parking officer prepares the subscription parking levy data guidelines and then finally repairs, prints and saves the file.The research results show that there are weaknesses in internal control, especially in the aspect of multiple functions and lack of documentation, which increases the potential for fraud to occur. Type of Paper: Review Keywords: Control, Collection, Efficiency.

This article explores the transformative impact of Artificial Intelligence (AI) on subscription-based business models across various industries. It examines how AI is revolutionizing key aspects of subscription services, including personalization, customer retention, pricing strategies, customer support, operational efficiency, and fraud detection. The article highlights specific AI applications such as content recommendations, dynamic user interfaces, churn prediction, advanced customer segmentation, dynamic and usage-based pricing, AI-powered chatbots, and sentiment analysis. Additionally, it discusses how AI enhances operational efficiency through automated billing and inventory management, and improves security via anomaly detection and behavioral biometrics. Case studies of Adobe Creative Cloud and Amazon Web Services (AWS) are presented to illustrate real-world applications of AI in subscription services. The article concludes by emphasizing the paradigm shift AI represents in customer engagement, operational optimization, and revenue generation for subscription businesses, forecasting continued innovation and opportunities in this rapidly evolving sector.

The proliferation of subscription-based business models has revolutionized consumer access to products and services, necessitating robust recurring payment systems. This paper examines the critical challenges associated with managing recurring payments, including payment processing inefficiencies, fraud and security risks, regulatory compliance, and customer churn. Then it explores the evolution of the subscription economy, highlighting its expansion across diverse industries and the subsequent impact on payment structures. Furthermore, the paper analyzes how technological innovations, such as artificial intelligence, blockchain, and advanced payment gateways, are transforming recurring payment handling. Industry examples, best practices, and future trends, including biometric authentication and Open Banking, are discussed to provide insights into optimizing subscription models. This paper argues that while the subscription economy offers significant advantages, businesses must continuously adapt to address payment processing inefficiencies, regulatory requirements, security concerns, and customer retention challenges to ensure sustainable growth in an increasingly digital landscape.