26-03-2020 дата публикации
Номер: US20200099713A1
Автор:
Mohit RAJPUT,
Harisankar HARIDAS,
Rakesh THATHA,
Sonal Lalchand OSWAL,
Neeraj Kumar GUPTA,
RAJPUT MOHIT,
HARIDAS HARISANKAR,
THATHA RAKESH,
OSWAL SONAL LALCHAND,
GUPTA NEERAJ KUMAR,
RAJPUT, Mohit,
HARIDAS, Harisankar,
THATHA, Rakesh,
OSWAL, Sonal Lalchand,
GUPTA, Neeraj Kumar
Принадлежит:
A system and method for detecting and blocking bots are presented. The method includes receiving unlabeled data regarding a visitor of a web source, grouping the received unlabeled data with similar characteristics into a group of data, detecting, based on the group of data, at least one anomaly, and determining, based on the at least one detected anomaly, several visitors to be blacklisted. 1. A method for detecting and blocking bots , comprising:receiving unlabeled data regarding a visitor of a web source;grouping the received unlabeled data with similar characteristics into a group of data;detecting, based on the group of data, at least one anomaly; anddetermining, based on the at least one detected anomaly, a number of visitors to be blacklisted.2. The method of claim 1 , wherein saving the detected at least one anomaly further comprises:any one of a conceptual drift, or a clustering of the group of data in a database, andwherein the concept drift is a change in a relationship between input and output over a predetermined period of time.3. The method of claim 1 , further comprising:providing feedback to an adaptive learning component to train a bot detection component.4. The method of claim 1 , further comprising:blocking each visitor added to the blacklist.5. The method of claim 1 , wherein determining the number of visitors to be blacklisted further comprises:identifying a cluster group and determining at least one tuning factor;determining a probability of blacklisted visitor to arrive again;determining a probability of the visitor to solve CAPTCHA;determining probability of the visitor solving captcha when blacklisted;determining a total number of false positive; anddetermining blacklist size of this size.6. The method of claim 5 , wherein the tuning factor is any one of:business limit per day (BLpD);number of iteration to occur per day (NpD);minimum blacklisting bound; ormaximum blacklisting bound.7. The method of claim 5 , wherein determining of the ...
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