The invention relates to an implicit user verification and privacy protection method based on multi-dimensional behavior characteristics. The method comprises the steps as follows: a, data of mobile equipment operation behaviors of a legitimate user is collected; b, a legitimate user operation characteristic model is established; c, a support vector machine is utilized for comparing current behavior characteristic vector with the legitimate user operation characteristic model, so that an operation comparing conclusion about whether a current user is legitimate is obtained, and the confidence level of the operation comparing conclusion is obtained; and d, probability that the current user is legitimate is calculated by a confidence level algorithm according to the current behavior characteristic vector and the confidence level, when the probability of the legitimate user is higher than a set threshold value, the current user is confirmed to be legitimate, otherwise, mobile equipment starts a privacy protection protocol which is set in advance. According to the implicit user verification and privacy protection method based on the multi-dimensional behavior characteristics, the power consumption is low, the probability of simulation and attack is low, accurate user identity recognition can be performed under the condition that the user cannot perceive, and a corresponding privacy protective measure is taken.