The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 30, 2020

Filed:

Nov. 01, 2017
Applicant:

Oath Inc., New York, NY (US);

Inventors:

Liang Wang, San Jose, CA (US);

Xianen Qiu, Sunnyvale, CA (US);

Chun Han, Fremont, CA (US);

Yan Han, Champaign, IL (US);

Ruichen Wang, Urbana, IL (US);

Assignee:

Oath Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 13/00 (2006.01); H04L 29/08 (2006.01); H04L 12/24 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
H04L 67/322 (2013.01); H04L 41/5006 (2013.01); H04L 67/30 (2013.01); G06F 9/5038 (2013.01); H04L 41/5003 (2013.01);
Abstract

Services often utilize scoring techniques to distinguish between user requests that comply with a usage policy of the service from those that represent a misuse of the service. Users who endeavor to misuse the service engages in probing by submitting a variety of requests to the service until one such request exhibiting a score that is within a score threshold, and then patterning further requests that misuse the service upon the successful request. Instead, when a first request from a user is identified that violates the score threshold, a score offset is selected. The scores of second and future requests by the user are adjusted by the score offset, indicating increased suspicion of the user's requests, while allowing legitimate requests that fulfill the score threshold by a larger margin. Additionally, absent further misuse, the score offset decays over time to restore trust incrementally in the legitimacy of the user's requests.


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