TRAINED PREDICTIVE SERVICES TO INTERDICT UNDESIRED WEBSITE ACCESSES
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United States of America Patent
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N/A
Issued Date -
Jun 2, 2011
app pub date -
May 28, 2010
filing date -
May 29, 2009
priority date (Note) -
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Abstract
Webcrawlers and scraper bots are detrimental because they place a significant processing burden on web servers, corrupt traffic metrics, use excessive bandwidth, excessively load web servers, create spam, cause ad click fraud, encourage unauthorized linking, deprive the original collector/poster of the information of exclusive rights to analysis and summarize information posted on their own site, and enable anyone to create low-cost Internet advertising network products for ultimate sellers. A scaleable predictive service distributed in the cloud can be used to detect scraper activity in real time and take appropriate interdictive access up to and including denial of service based on the likelihood that non-human agents are responsible for accesses. Information gathered from a number of servers can be aggregated to provide real time interdiction protecting a number of disparate servers in a network.
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