Sistema e gerenciamento de telecomunicações

Assessing the Risk of Fraud in Mobile Money Transactions in Sierra Leone: A Study of Orange and Telecommunication Companies

Abstract

Ahar Waker*

Deep fakes have become a major concern due to their potential impact on various fields such as politics, entertainment, and security. With the help of deep learning techniques, even non-experts can now create convincing and realistic fake videos or images that can be used for both benign and malicious purposes. One of the key issues with deep fakes is that they can be used to manipulate people's perceptions of reality by creating fake videos or images of individuals saying or doing things that they never did. This has serious implications for politics and elections, where deep fakes could be used to sway public opinion and affect the outcome of elections. Another concern is that deep fakes can be used to create fake identities or impersonate individuals, which can lead to identity theft, fraud, and other malicious activities. In addition, deep fakes can be used to manipulate or deceive facial recognition systems, which are used in various applications such as security and surveillance.