Methods of unsupervised anomaly detection using a geometric framework

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United States of America Patent

PATENT NO 8544087
SERIAL NO

12022425

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A method for unsupervised anomaly detection, which are algorithms that are designed to process unlabeled data. Data elements are mapped to a feature space which is typically a vector space . Anomalies are detected by determining which points lies in sparse regions of the feature space. Two feature maps are used for mapping data elements to a feature apace. A first map is a data-dependent normalization feature map which we apply to network connections. A second feature map is a spectrum kernel which we apply to system call traces.

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Patent Owner(s)

  • THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Arnold, Andrew Oliver New York City, US 6 59
Eskin, Eleazar Santa Monica, US 26 2392
Portnoy, Leonid Brooklyn, US 3 113
Prerau, Michael Chestnut Hill, US 3 113
Stolfo, Salvatore J Ridgewood, US 127 11696

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