Bot detection using profile-based filtration
First Claim
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1. A method, comprising:
- building a statistical profile describing attributes of automated-origin content request activity for a network content provider;
scoring a plurality of content requests of unknown origin in terms of similarity to the attributes according to the statistical profile; and
indicating a likelihood of automated-origin content request activity based on the scoring.
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Abstract
Methods and apparatus for bot detection using profile based filtration are disclosed. A statistical profile describing attributes of automated-origin content request activity for a network content provider is built. A plurality of content requests of unknown origin in terms of similarity to the attributes is scored. A likelihood of automated-origin content request activity based on the scoring is indicated.
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Citations
20 Claims
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1. A method, comprising:
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building a statistical profile describing attributes of automated-origin content request activity for a network content provider; scoring a plurality of content requests of unknown origin in terms of similarity to the attributes according to the statistical profile; and indicating a likelihood of automated-origin content request activity based on the scoring. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A non-transitory computer-readable storage medium storing program instructions, wherein the program instructions are computer-executable to implement:
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building a statistical profile describing attributes of automated-origin content request activity for a network content provider; scoring a plurality of content requests of unknown origin in terms of similarity to the attributes according to the statistical profile; and indicating a likelihood of automated-origin content request activity based on the scoring. - View Dependent Claims (15, 16)
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17. A system, comprising:
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at least one processor; and a memory comprising program instructions, wherein the program instructions are executable by the at least one processor to; build a statistical profile describing attributes of automated-origin content request activity for a network content provider; score a plurality of content requests of unknown origin in terms of similarity to the attributes according to the statistical profile; and designate a sample of the content requests selected as having a low likelihood of automated-origin content request activity based on the scoring. - View Dependent Claims (18, 19, 20)
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Specification