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Method, apparatus and system for detecting abnormal behavior of user

Abstract

Disclosed are a method, device and system for detecting an abnormal behavior of a user, which belong to the field of computers. The method comprises: acquiring time series data, wherein the time series data is used for describing at least one network behavior; and when the acquired time series data is not stationary, confirming that a user corresponding to the at least one network behavior is behaving abnormally. Since time series data more accurately describes a network behavior of a user, by confirming, when the time series data is not stationary, that the user behaves abnormally, the accuracy rate is relatively high, thereby improving the experience of the user when surfing the Internet. In addition, compared with other methods, the method for determining, by means of the stationarity of time series data, whether a user behaves abnormally is not only highly accurate, but also high efficient.

Classifications

G06F16/2228 Indexing structures
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SG11201904533UA

Singapore

Inventor
Wenpeng Song
Xiong Shen

Worldwide applications
2017 CN 2018 HK KR WO SG JP 2019 US

Application SG11201904533UA events