System and method to determine the validity of an interaction on a network

• US 9,894,173 B2
• Filed: 01/17/2017
• Issued: 02/13/2018
• Est. Priority Date: 02/14/2000
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Doliov, Stephan
• Primary Examiner(s): PARDO, THUY N
• Application Number:
  US15/407,916
• Publication Number:
  US 20170126824A1
• Time in Patent Office: 392 Days
• Field of Search: 707749, 707E1712, 707751, 707758, 707768, 379189, 705 43, 705 3, 715222
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: G06F 2221/2135 Metering
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: H04L 61/5007 Internet protocol [IP] addresses
• CPC Class Codes: H04L 63/126 the source of the received data
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/14 Session management for real-time applications in data packet communications networks H04L65/1066
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: Y10S 707/99939 Privileged access
• CPC Class Codes: Y10S 707/99942 : Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 : Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99944 : Object-oriented database structure
• CPC Class Codes: Y10S 707/99945 : Object-oriented database structure processing

Abstract

A computer implemented method determines validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Claims

1. A computer implemented method for determining validity of web-based interactions, comprising:

collecting web-based interaction data for web-based interactions with a network, the web-based interaction data including at least aggregate measure data that comprises a number of unique queries per web-based session;

accessing the web-based interaction data relating to a web-based interaction with the network;

ignoring or blocking the web-based interaction based on the aggregate measure data; and

determining validity of the web-based interaction based on the aggregate measure data.

2. The method of claim 1 wherein determining the validity of the web-based interaction comprises determining the validity of the web-based interaction within a predetermined period of time.

3. The method of claim 2 further comprising, upon determining the web-based interaction is invalid within the predetermined time, automatically providing an alert to a web-based advertiser about the invalid web-based interaction.

4. The method of claim 1, further comprising:

automatically adjusting an account of a web-based advertiser by reducing or removing a cost of the web-based interaction based on the aggregate measure data.

5. The method of claim 1, where the aggregate measure data further comprises Internet click data.

6. The method of claim 1, where the aggregate measure data further comprises Internet search result data.

7. The method of claim 1, where the aggregate measure data further comprises Internet advertiser data.

8. The method of claim 1, where the aggregate measure data further comprises data related to a source Internet IP address of the web-based interaction.

9. The method of claim 1 further comprising applying a predictive model to the aggregate measure data and unique feature data to produce a risk value of a click interaction on the Internet, the predictive model being built based on the collected web-based interaction data for the web-based interactions with the network, and wherein determining the validity of the web-based interaction comprises determining the validity based on the risk value.

10. A computer implemented method for monitoring and handling web-based interactions, comprising:

accessing web-based interaction data relating to a web-based interaction, the web-based interaction data comprising at least one of

a number of clicks per Internet Protocol (IP) address for a given time period,

a number of unique queries per web-based session, and

a number of network clicks for a given time period; and

handling the web-based interaction by ignoring or blocking the web-based interaction based on the web-based interaction data.

11. The method of claim 10 wherein handling of the web-based interaction further comprises automatically adjusting an account of a web-based advertiser by reducing or removing a cost of the web-based interaction.

12. The method of claim 10 wherein handling the web-based interaction further comprises determining validity of the web-based interaction based on

the number of clicks per Internet Protocol (IP) address for a given time period,

the number of unique queries per web-based session, or

the number of network clicks for a given time period.

13. The method of claim 12 wherein determining the validity of the web-based interaction comprises determining validity of the web-based interaction within a predetermined period of time to handle the web-based interaction.

14. The method of claim 13 further comprising:

determining the web-based interaction is invalid within the predetermined time; and

upon determining the web-based interaction is invalid, automatically providing an alert to a web-based advertiser about the invalid web-based interaction.

15. The method of claim 14 further comprising:

receiving, from the web-based advertiser, changed terms of an advertising contract of the web-based advertiser.

16. The method of claim 13 further comprising:

determining the web-based interaction is invalid within the predetermined time; and

upon determining the web-based interaction is invalid, automatically adjusting an account of a web-based advertiser by reducing or removing a cost of the web-based interaction.

17. The method of claim 10 wherein accessing web-based interaction data relating to a web-based interaction comprises accessing at least one of Internet search result data, Internet advertiser data and data related to respective source Internet IP addresses of the web-based interactions.

18. A computer implemented method for determining validity of web-based interactions, the method comprising:

processing web-based interactions over a network;

for the web-based interactions, storing information about at least one of;

a number of clicks per Internet Protocol (IP) address for a given time period,

a number of unique queries per web-based session, and

a number of network clicks for a given time period;

Internet search result data;

Internet advertiser data; and

data related to respective source Internet IP addresses of the web-based interactions;

aggregating the stored information to produce aggregate measure data;

receiving a web-based interaction over the network;

accessing aggregate measure data relating to a web-based interaction, the aggregate measure data comprising a number of unique actions per web-based session; and

determining the validity of the web-based interaction based on the number of unique actions per web-based session.

19. The method of claim 18 further comprising:

automatically adjusting an account of a web-based advertiser.

20. The method of claim 19 wherein automatically adjusting an account of a web-based advertiser comprises:

reducing or removing a cost of the web-based interaction based on the number of unique actions per web-based session.