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AssigneeZscaler, Inc.
InventorsChenhui Hu, Devesh Solanki, Zhen Yu, Shudong Zhou, Rex Shang
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Systems and methods for generating and utilizing synthetic data include receiving a set of real network traffic data; generating synthetic data from the received set of real network traffic data based on patterns learned from the set of real network traffic data; and utilizing the synthetic data for any of training a machine learning model, testing a machine learning model, and configuring a customer cloud environment. The systems are adapted to generate a large amount of synthetic data from a limited set of real network traffic data. The produced synthetic data is altered in one or more ways to anonymize sensitive information present in the real data. Therefore, the systems are adapted to generate a large amount of synthetic data which accurately resembles real network traffic data while complying with data privacy practices.
A method comprising steps of:
A non-transitory computer-readable medium comprising instructions that, when executed, cause one or more processors to perform steps of:
Dependencies are inferred from the claim text.