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Telecom industries lose globally 46.3 Billion USD due to fraud. Data mining and machine learning techniques (apart from rules oriented approach) have been used in past, but efficiency has been low as fraud pattern changes very rapidly. This…

Machine Learning · Computer Science 2023-11-03 Sudarson Roy Pratihar , Subhadip Paul , Pranab Kumar Dash , Amartya Kumar Das

App builders commonly use security challenges, a form of step-up authentication, to add security to their apps. However, the ethical implications of this type of architecture has not been studied previously. In this paper, we present a…

Cryptography and Security · Computer Science 2021-06-30 Zainul Abi Din , Hari Venugopalan , Henry Lin , Adam Wushensky , Steven Liu , Samuel T. King

Despite their widespread adoption, cellular networks face growing vulnerabilities due to their inherent complexity and the integration of advanced technologies. One of the major threats in this landscape is Voice over IP (VoIP) to GSM…

Networking and Internet Architecture · Computer Science 2025-02-04 Anne Josiane Kouam , Aline Carneiro Viana , Philippe Martins , Cedric Adjih , Alain Tchana

Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has…

Cryptography and Security · Computer Science 2015-10-27 J. West , Maumita Bhattacharya , R. Islam

Accounting fraud is a global concern representing a significant threat to the financial system stability due to the resulting diminishing of the market confidence and trust of regulatory authorities. Several tricks can be used to commit…

Machine Learning · Statistics 2018-05-09 Maria Jofre , Richard Gerlach

Credit card fraud is an ongoing problem for almost all industries in the world, and it raises millions of dollars to the global economy each year. Therefore, there is a number of research either completed or proceeding in order to detect…

Machine Learning · Computer Science 2020-07-30 Yusuf Yazici

The short message service (SMS) was introduced a generation ago to the mobile phone users. They make up the world's oldest large-scale network, with billions of users and therefore attracts a lot of fraud. Due to the convergence of mobile…

Cryptography and Security · Computer Science 2022-10-20 Muhammad Salman , Muhammad Ikram , Mohamed Ali Kaafar

Nowadays, most mobile devices support biometric authentication schemes like fingerprint or face unlock. However, these probabilistic mechanisms can only be activated in combination with a second alternative factor, usually knowledge-based…

Human-Computer Interaction · Computer Science 2019-11-19 Christian Tiefenau , Maximilian Häring , Mohamed Khamis , Emanuel von Zezschwitz

Fraudulent activities on digital banking services are becoming more intricate by the day, challenging existing defenses. While older rule driven methods struggle to keep pace, even precision focused algorithms fall short when new scams are…

Cryptography and Security · Computer Science 2026-01-21 Karthikeyan V. R. , Premnath S. , Kavinraaj S. , J. Sangeetha

Phone scams pose a significant threat to individuals and communities, causing substantial financial losses and emotional distress. Despite ongoing efforts to combat these scams, scammers continue to adapt and refine their tactics, making it…

Cryptography and Security · Computer Science 2024-10-18 Zitong Shen , Kangzhong Wang , Youqian Zhang , Grace Ngai , Eugene Y. Fu

With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative applications of the latest Transformer models for more robust…

Machine Learning · Computer Science 2024-11-13 Chang Yu , Yongshun Xu , Jin Cao , Ye Zhang , Yinxin Jin , Mengran Zhu

Malicious calls, i.e., telephony spams and scams, have been a long-standing challenging issue that causes billions of dollars of annual financial loss worldwide. This work presents the first machine learning-based solution without relying…

Cryptography and Security · Computer Science 2018-05-30 Huichen Li , Xiaojun Xu , Chang Liu , Teng Ren , Kun Wu , Xuezhi Cao , Weinan Zhang , Yong Yu , Dawn Song

Insurance fraud detection represents a pivotal advancement in modern insurance service, providing intelligent and digitalized monitoring to enhance management and prevent fraud. It is crucial for ensuring the security and efficiency of…

Cryptography and Security · Computer Science 2025-06-26 Yining Pang , Chenghan Li

Caller ID parodying produces the valid Caller character, in this manner deciding seem to start from another client. This apparently basic assault strategy has been utilized in the developing communication fake and trick calls, bringing…

Cryptography and Security · Computer Science 2020-04-02 Volodymyr Buriachok , Volodymyr Sokolov , Mahyar TajDini

Despite living in the era of the internet, phone-based scams remain one of the most prevalent forms of scams. These scams aim to exploit victims for financial gain, causing both monetary losses and psychological distress. While governments,…

Human-Computer Interaction · Computer Science 2025-02-07 Zitong Shen , Sineng Yan , Youqian Zhang , Xiapu Luo , Grace Ngai , Eugene Yujun Fu

Artificial Intelligence (AI) is rapidly gaining popularity as individuals, groups, and organizations discover and apply its expanding capabilities. Generative AI creates or alters various content types including text, image, audio, and…

Cryptography and Security · Computer Science 2024-09-30 LD Herrera , London Van Sickle , Ashley Podhradsky

Credit card is one of the most extensive methods of instalment for both online and offline mode of payment for electronic transactions in recent times. credit cards invention has provided significant ease in electronic transactions.…

Machine Learning · Computer Science 2024-09-23 Sourav Verma , Joydip Dhar

Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and both the merchants and financial institutions bear heavy…

Machine Learning · Computer Science 2020-12-08 Thanh Thi Nguyen , Hammad Tahir , Mohamed Abdelrazek , Ali Babar

Traditionally, the detection of fraudulent insurance claims relies on business rules and expert judgement which makes it a time-consuming and expensive process (\'Oskarsd\'ottir et al., 2022). Consequently, researchers have been examining…

Machine Learning · Computer Science 2024-10-08 Bavo D. C. Campo , Katrien Antonio

Recently, financial institutes have been dealing with an increase in financial crimes. In this context, financial services firms started to improve their vigilance and use new technologies and approaches to identify and predict financial…

Machine Learning · Computer Science 2021-05-25 Zeinab Rouhollahi
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