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LEVERAGING POINT INFERENCES ON HTTP TRANSACTIONS FOR HTTPS MALWARE DETECTION
LEVERAGING POINT INFERENCES ON HTTP TRANSACTIONS FOR HTTPS MALWARE DETECTION
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机译:利用HTTP交易中的点推断进行HTTPS恶意软件检测
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摘要
In one embodiment, a traffic analysis service receives captured traffic data regarding a Transport Layer Security (TLS) connection between a client and a server. The traffic analysis service applies a first machine learning-based classifier to TLS records from the traffic data, to identify a set of the TLS records that include Hypertext Transfer Protocol (HTTP) header information. The traffic analysis service estimates one or more HTTP transaction labels for the connection by applying a second machine learning-based classifier to the identified set of TLS records that include HTTP header information. The traffic analysis service augments the captured traffic data with the one or more HTTP transaction labels. The traffic analysis service causes performance of a network security function based on the augmented traffic data.
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