Fraudsters use deceptive methods like automated bots and fake websites to generate false interactions with ads, including fake ad views, clicks, and conversions. These automated bots can be sophisticated programs that mimic human behavior, making them difficult to detect. They generate traffic by repeatedly loading ad pages, inflating the number of impressions. Fake websites, often created to resemble legitimate ones, host ads that are never seen by real users. These fraudulent activities result in skewed performance metrics, falsely indicating that ads have reached thousands or millions of real users when they have not. Fraud detection systems are constantly evolving to identify patterns, such as unnatural click-through rates or unusual conversion paths, that may indicate ad fraud. However, the ongoing cat-and-mouse game with fraudsters means staying ahead is a continuous challenge.