This study explores the use of Generative Adversarial Networks (GANs) to detect AI deepfakes and fraudulent activities in online payment systems. With the growing prevalence of deepfake technology, which can manipulate facial features in images and videos, the potential for fraud in online transactions has escalated. Traditional security systems struggle to identify these sophisticated forms of fraud. This research proposes a novel GAN-based model that enhances online payment security by identifying subtle manipulations in payment images. The model is trained on a dataset consisting of real-world online payment images and deepfake images generated using advanced GAN architectures, such as StyleGAN and DeepFake. The results demonstrate that the proposed model can accurately distinguish between legitimate transactions and deepfakes, achieving a high detection rate above 95%. This approach significantly improves the robustness of payment systems against AI-driven fraud. The paper contributes to the growing field of digital security, offering insights into the application of GANs for fraud detection in financial services. Keywords- Payment Security, Image Recognition, Generative Adversarial Networks, AI Deepfake, Fraudulent Activities

The antitrust lawsuit Epic Games and Match Group have filed against Google was supposed to go to trial on November 6, but now it looks like the video game developer might go at it alone. Google and Match, the parent company of Tinder, OkCupid and Hinge, have reached an agreement and have agreed to drop all claims against each other. According to Bloomberg and The Wall Street Journal, Google has agreed to return the $40 million Match had place in escrow to cover the service fees it would supposedly owe the Alphabet unit while the dispute is ongoing. Match also announced in its earning report that its apps will be using Google's User Choice Billing program starting on March 31, 2024. Under the program, users will have the option to choose between Google's and the developer's billing systems when purchasing an app or paying for a subscription.

While the original purpose of blockchains was to realize a payment system, it has been shown that, in fact, such systems do not require consensus and can be implemented deterministically in asynchronous networks. State-of-the-art payment systems employ Reliable Broadcast to disseminate payments and prevent double spending, which entails O(n^2) communication complexity per payment even if Byzantine behavior is scarce or non-existent. Here we present Flash, the first payment system to achieve $O(n)$ communication complexity per payment in the good case and $O(n^2)$ complexity in the worst-case, matching the lower bound. This is made possible by sidestepping Reliable Broadcast and instead using the blocklace -- a DAG-like partially-ordered generalization of the blockchain -- for the tasks of recording transaction dependencies, block dissemination, and equivocation exclusion, which in turn prevents doublespending. Flash has two variants: for high congestion when multiple blocks that contain multiple payments are issued concurrently; and for low congestion when payments are infrequent.

The payments industry is undergoing a rapid transformation, and ISO 20022 data is set to play a crucial role in this revolution. ISO 20022 is a global standard for financial messaging that facilitates seamless communication and exchange of data across different payment systems, thereby simplifying the process of exchanging information and conducting transactions among financial institutions. The increasing demand for faster and more efficient payment processing is a major driver of change in the payments sector. With ISO 20022 data, real-time payment processing is possible, enabling faster and more secure transactions. This standard provides a common language and syntax for communicating data across various payment systems, resulting in a more streamlined payment process.

Smart Payments are the future of financial transactions and with the help of AI businesses can easily create these efficient and cost-effective payments, revolutionizing the way we pay for goods and services. The term "smart payment" refers to any payment system that uses advanced technology to make transactions more efficient, secure, and convenient. These systems use a variety of technologies, including mobile devices, biometrics, and APIs, to facilitate payments in a way that is faster, more secure, and more convenient than traditional payment methods. If you're unsure of where to begin, here are seven steps to create Smart Payments using AI. The first step in creating Smart Payments is to identify the business need. This includes understanding the current payment process and identifying any pain points or inefficiencies.

There was a young lady called Aisha who lived in the wide and varied continent of Africa. Aisha dreamt of opening her jewelry store one day when she and her family resided in a tiny town. Yet she quickly saw that the absence of financial services in her town impeded her ability to accomplish her aspirations. Aisha and her family often encountered difficult and expensive processes even when they could visit banks despite traveling great distances. But suddenly, a miraculous event took place.

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Microsoft Corp. began to make the case in Washington for its purchase of game giant Activision Blizzard Inc., laying out new data-collection, competition and payment policies for its Xbox and Windows software stores that it says address regulators' broader concerns about rival app stores. The company, which last month agreed to acquire Activision for $69 billion, also pledged Wednesday to keep making Call of Duty games for Sony Corp.'s rival PlayStation console even after its contractual commitment ends. "We want to be clear with regulators and with the public that if this acquisition is approved, they can count on Microsoft to adapt to the rules that are emerging and run our business in a responsible way," Microsoft President and Vice Chair Brad Smith said at a press event. At the briefing, Microsoft's top executives explained the company's app-store principles for its Microsoft and Xbox stores, where users can purchase personal-computer software as well as PC and Xbox games. They include a promise not to use any nonpublic data from the app store to compete with apps made by rival developers and to avoid "unreasonable preferencing our apps over others." Microsoft also said it wouldn't require developers to use its payment system for in-app purchases, although that stipulation and a few others won't initially apply to the Xbox store.

Banking group Resona Holdings Inc. on Thursday established a consortium of 31 Japanese companies across a range of industries to discuss and share know-how on the development of a payment system using facial recognition technology. The bank unveiled the plan for the payment system in August, aiming to allow users to make deposits and withdrawals at banks and shop at stores without presenting anything if they register their facial images in advance, with hopes of creating a standard that can ultimately be utilized in different settings. The joint project is also headed by Panasonic System Solutions Japan Co., a unit of electronics giant Panasonic Corp. which has expertise in facial recognition technology, credit card firm JCB Co. and Dai Nippon Printing Co. The newly announced consortium includes West Japan Railway Co., Seven & i Holdings Co. and Hankyu Hanshin Holdings Inc., among other companies. The facial recognition technology requires customers to register a picture of their face through a website and other personal data.