Results 71 to 80 of about 1,938 (185)
Informal Firms' Adoption and Use of Mobile Money Under Uncertain Times: Evidence From Burkina Faso
Review of Development Economics, EarlyView.ABSTRACT This paper investigates how uncertainty affects mobile money adoption and use by informal businesses. Despite the prevalence of the informal sector in developing countries and the recognized potential of mobile money for financial inclusion, empirical research on its adoption and usage among unregistered businesses is limited.
Serge Stéphane Ky, Clovis Rugemintwari
wiley +1 more source
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
Expert Systems, Volume 43, Issue 5, May 2026.ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López +3 more
wiley +1 more source
Effective fraud detection in e-commerce: Leveraging machine learning and big data analytics
Measurement: SensorsSophisticated cyber-infrastructure and information technology methods are necessary to exploit and analyse the massive amounts of data generated by online transactions.
Surendranadha Reddy Byrapu Reddy +5 more
doaj +1 more source
Financial Fraud in Commercial Companies [PDF]
Ovidius University Annals: Economic Sciences SeriesFinancial fraud represents a significant threat to the financial integrity, performance, and reputation of commercial companies, with adverse effects on investor confidence and long-term sustainability.
Alina Melania Ionita, Mircea-Iosif Rus
doaj
An Overview of Deep Learning Techniques for Big Data IoT Applications
International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Hasanuddin Law Review, 2015 The aims of the study are to determine the legal arrangements and the application of criminal sanctions against the crime of credit/debit card fraud in Indonesia.
Antonius Maria Laot Kian
doaj
Baltic Journal of Economic StudiesThe present study explores contemporary approaches to the analysis, modelling and assurance of cyber security of critical information infrastructure in the face of modern threats.
Valentyna Yashchuk +2 more
doaj +1 more source
Contemporary Trends in Economic Cybersecurity
Мир новой экономики, 2019 This paper is devoted to the analysis of modern trends in economic cybersecurity. We analysed the dynamics of cyber-attacks over the past five years and, particularly, pointed on the main trends of 2018 year.
Yu. Yu. Shitova, Yu. A. Shitov
doaj +1 more source
Соціально-економічні відносини в цифровому суспільствіThe modern financial sector faces major challenges in the fight against fraud due to the growth of digital transactions, the complexity of criminal schemes and the development of cyber threats.
Kаtherina Daher +4 more
doaj +1 more source