Recurrent neural network based anomaly detection

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United States of America Patent

PATENT NO 11775637
SERIAL NO

17693860

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Abstract

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Mechanisms are provided for detecting abnormal system call sequences in a monitored computing environment. The mechanisms receive, from a computing system resource of the monitored computing environment, a system call of an observed system call sequence for evaluation. A trained recurrent neural network (RNN), trained to predict system call sequences, processes the system call to generate a prediction of a subsequent system call in a predicted system call sequence. Abnormal call sequence logic compares the subsequent system call in the predicted system call sequence to an observed system call in the observed system call sequence and identifies a difference between the predicted system call sequence and the observed system call sequence based on results of the comparing. The abnormal call sequence logic generates an alert notification in response to identifying the difference.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Gu, Zhongshu Ridgewood, US 26 338
Huang, Heqing Mahwah, US 36 386
Lee, Taesung Ridgefield, US 52 466
Molloy, Ian M Chappaqua, US 40 1393
Rao, Josyula R Ossining, US 35 889
Zhang, Jialong White Plains, US 25 491

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