A continuous identity authentication method for collecting user interaction behaviors by using a mobile terminal

Abstract

The invention discloses a continuous identity authentication method based on a mobile terminal interaction behavior. The method comprises the following steps: (1) collecting user interaction behaviordata; (2) fuzzifying user interaction behavior data; (3) constructing WiFi-geographic position mapping table; (4) generating an interaction event set; (5) constructing a user identity authentication model; (6) obtaining an interaction event departure value; (7) judging the type of the interaction event; And (8) judging the user identity. According to the method, the problem that the user behaviorcollected in the prior art is easily simulated and the problems that the energy consumption is high, the data is not easy to collect and the privacy protection intensity is low when the user behaviordata is collected in the prior art are solved, so that the method has the advantages of safety, practicability and privacy.

Description

technical field [0001] The invention belongs to the field of information technology, and further relates to a continuous identity authentication method using a mobile terminal to collect user interaction behavior in the field of information security technology. The invention utilizes the mobile terminal to realize the continuous authentication of the user's identity by collecting the user's behavior of calling, using an application software, and other interactive behaviors. Background technique [0002] The continuous identity authentication method is based on the user's unique behavioral characteristics and cognitive characteristics. By continuously collecting and evaluating user authentication information, it aims to authenticate the user's identity without interfering with the user's normal behavior. At this stage, mobile terminals have powerful computing power and a large number of sensors, which can continuously collect user behavior characteristic data and cognitive ch...

AI Technical Summary

Problems solved by technology

There are two shortcomings in this method: first, the user is vulnerable to peeping and imitation when swiping the screen. Once the user swipes the screen and is successfully imitated, the identity authentication will become invalid; The sliding screen feature data is transmitted to the remote server. Once the remote server is compromised, it will also cause serious user privacy leakage.

The disadvantage of this method is that the long-term and short-term computer network algorithm used in this method belongs to the binary classification machine learning algorithm, so the continuous identity authentication model constructed by this method belongs to the binary classification model, and the construction of this model must be based on sufficient Based on legitimate user data and illegal user data

However, in actual situations, the ability to obtain illegal user data is limited, and it is impossible to obtain sufficient illegal user data to train the identity authentication model, thereby reducing the versatility of the continuous identity authentication method

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