Method and device for determining the health degree of a mobile terminal

Abstract

The present invention provides a method and device for determining the health degree of a mobile terminal. The method includes: selecting at least one type of abnormal communication behavior on the network side of the mobile terminal; dividing a continuous time span into several time periods; determining each type of abnormality The distribution of the number of occurrences of communication behaviors in each time period; according to the distribution of each type of abnormal communication behavior, calculate the health degree of the mobile terminal corresponding to each type of abnormal communication behavior; according to the distribution of each type of abnormal communication behavior The corresponding mobile terminal health degree of the behavior, calculate the final mobile terminal health degree; Among them, the more occurrences of abnormal communication behaviors in each time period, the greater the mobile terminal health degree; the closer the time period of abnormal communication behaviors occurs The cut-off time point is set, the greater the health degree of the mobile terminal is; the greater the number of time periods in which abnormal communication behaviors occur, the greater the health degree of the mobile terminal. The foregoing solution can timely and accurately determine the health degree of the mobile terminal.

Description

technical field [0001] The invention relates to the technical fields of mobile communication, data and terminal security, and mobile data services, and in particular to a method and device for determining the health degree of a mobile terminal. Background technique [0002] In recent years, security incidents involving mobile phone backdoors and mobile phone viruses have occurred frequently, bringing harm to users such as information leakage, loss of call charges, and poor perception of network quality; The dangers of increased online complaints. It is imperative to study and eliminate the above-mentioned hazards. The first task is to find the suspected affected users—that is, suspected poisoned mobile terminals. This requires reliable models and methods for determining the health of mobile terminals. The definition of mobile terminal health is: a probability value ranging from 0 to 100%, indicating the degree to which the mobile terminal is harmed by viruses and backdoors....

AI Technical Summary

Problems solved by technology

[0006] 1. Relying on the signature code of known viruses for judgment, it is difficult to quickly judge unknown viruses and newly added viruses, and the efficiency is low;

[0007] 2. Relying on the signature code of known viruses for judgment, unknown viruses and newly added viruses cannot be judged, and the judgment coverage rate is low;

[0008] 3. Static judgment and scanning based on API and analysis based on data flow cannot distinguish benign and malicious behaviors, and the judgment accuracy is low;

[0009] 4. Judgment is performed on the mobile terminal side, which is easily interfered by malicious software on the mobile terminal to be judged;

[0010] 5. Judging on the terminal side, it is difficult to collect data and upgrade, and the expansion ability is poor

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