Method and system to detect invalid and fraudulent impressions and clicks in web-based advertisement systems
This invention improves upon existing pay-per-click arrangements periodically generating a code associated with the search-engine users. This code, preferably in the form of a serial number, is compared to the user of the website, such that by observing a metric like the number of clicks for a given period of time, be it a short time or a longer period, such as a day or a week, the system can automatically determine if certain clicks are illegitimate. This allows the pay-per-click company to more fairly invoice the merchants, thereby preventing fraudulent over use.
1. A method for detecting fraudulent activity in a pay-per-click system, comprising: (a) providing a pay-per-click engine on a server side; b) receiving, at said server side, a request from a client; c) generating a unique code on the server side, for identifying said client; d) transmitting said code to said client from the server side; e) transmitting to said client from the server side, in response to said request, one or more links associated with one or more websites associated with one or more merchants; f) generating website information regarding a website selected by the client when said client clicks one of said links; g) transmitting said code and said website information together from said client to said server side; h) receiving said code and said website information at the server side, and detecting fraudulent activity by measuring the duration between clicks by said client to said selected website by examining said code and website information.
2. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 further comprising the step of: storing said code at said client.
3. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 further comprising the step of: storing said code in a cookie.
4. A method for detecting fraudulent activity in a pay-per-click system as in claim 3 wherein said storing step is performed using at least one of the following: active, Java, and Javascript.
5. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 further comprising the step of: concatenating said code with at least one of said links to said websites.
6. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 wherein said code is based on a global unique identifier of said client.
7. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 wherein said code is based on a network cartography of said client.
8. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 wherein said code is encoded.
9. A method for detecting fraudulent activity in a pay-per-click system as in claim 1 further comprising the step of: preventing a click-through to at least one of said websites associated with said merchants if fraudulent activity is detected.
10. In an advertising system including a pay-per-click engine on a server side, the pay-per-click engine providing one or more links associated with one or more web pages to a user at a device on a client side, the method for identifying fraud comprising the steps of: generating a code on the server side, the code identifying said device on the client side; sending said code to said device; receiving data from said device, said data including said code and information about one or more selections by the user of at least one of said one or more web pages; determining from said data whether said at least one of said selections of said at least one web page is fraudulent; and examining a duration between a time of one of said selections of said at least one web site and a time of another of said selections of said at least one web site.
11. In an advertising system including a pay-per-click engine on a server side, the pay-per-click engine providing one or more links associated with one or more web pages to a user at a device on a client side, the method for identifying fraud as in claim 10 wherein said code is based on a global unique identifier of said device.
12. In an advertising system including a pay-per-click engine on a server side, the pay-per-click engine providing one or more links associated with one or more web pages to a user at a device on a client side, the method for identifying fraud as in claim 10 wherein said code is based on a network cartography of said client.
13. In an advertising system including a pay-per-click engine on a server side, the pay-per-click engine providing one or more links associated with one or more web pages to a user at a device on a client side, the method for identifying fraud as in claim 10 wherein said code is encoded.
14. A method for detecting fraudulent activity in a pay-per-click system, comprising: (a) providing a pay-per-click engine on a server side; b) receiving, at said server side, a request from a client; c) generating a unique code on the server side, for identifying said client; d) transmitting said code to said client from the server side; e) transmitting to said client from the server side, in response to said request, one or more links associated with one or more websites associated with one or more merchants; f) receiving, on said server side, website information regarding a website selected by the client together with said code, when said client clicks one of said links; g) detecting fraudulent activity by measuring the duration between clicks by said client to said selected website by examining said code and website information.
15. A method for detecting fraudulent activity in a pay-per-click system as in claim 14 further comprising the step of: storing said code at said client.
16. A method for detecting fraudulent activity in a pay-per-click system as in claim 15 wherein said storing step is performed using at least one of the following: active, Java, and Javascript.
17. A method for detecting fraudulent activity in a pay-per-click system as in claim 14 further comprising the step of: storing said code in a cookie.
18. A method for detecting fraudulent activity in a pay-per-click system as in claim 14 further comprising the step of: concatenating said code with at least one of said links to said websites.
19. A method for detecting fraudulent activity in a pay-per-click system as in claim 14 wherein said code is based on a global unique identifier of said client.
20. A method for detecting fraudulent activity in a pay-per-click system as in claim 14 wherein said code is encoded.