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US Patent 11374952 Detecting anomalous events using autoencoders

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11374952
Patent Inventor Names
Wei Ding0
Luca Melis0
Baris Coskun0
Date of Patent
June 28, 2022
Patent Application Number
16586147
Date Filed
September 27, 2019
Patent Citations
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US Patent 11106903 Object detection in image data
0
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US Patent 10121104 System and method for anomaly detection via a multi-prediction-model architecture
Patent Citations Received
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US Patent 12028362 Detecting anomalous storage service events using autoencoders
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US Patent 11657290 System and method with a robust deep generative model
0
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US Patent 11909482 Federated learning for client-specific neural network parameter generation for wireless communication
0
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US Patent 11921610 Correlation key used to correlate flow and context data
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US Patent 11996120 Sound generation apparatus, data generation apparatus, anomaly score calculation apparatus, and program
0
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US Patent 11997120 Detecting threats to datacenter based on analysis of anomalous events
0
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US Patent 12015591 Reuse of groups in security policy
0
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US Patent 11593639 Scoring events using noise-contrastive estimation for anomaly detection
Patent Primary Examiner
‌
Uyen-Chau Le
CPC Code
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H04L 63/1425
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G06N 3/08
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G06N 3/0454
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H04L 63/1416

Techniques for monitoring a computing environment for anomalous activity are presented. An example method includes receiving a request to invoke an action within a computing environment, with the request including a plurality of request attributes and a plurality of contextual attributes. A normalcy score is generated for the received request by encoding the received request into a code in latent space of an autoencoder, reconstructing the request from the code, and generating a probability distribution indicating a likelihood that the reconstructed request attributes exist in a data set of non-anomalous activity. Based on the calculated normalcy score, one or more actions are taken to process the request such that execution of non-anomalous requests is allowed, and execution of potentially anomalous requests may be blocked pending confirmation.

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