Rapid intelligent comparison and security detection method for big data of mobile malicious software

A malicious software and security detection technology, applied in the direction of electrical digital data processing, computer security devices, instruments, etc., can solve the problems of malware inclusion, easy loopholes, and slow detection speed, so as to improve the degree of intelligence and reduce the risk of use , the effect of rapid detection

Inactive Publication Date: 2021-07-16
CHONGQING COLLEGE OF ELECTRONICS ENG
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the mobile application field, more and more popular mobile software has been copied or repackaged, resulting in a large number of malicious software mixed in, which has caused great damage to the application ecosystem. Existing security detection The method uses code comparison to detect software security, which requires processing a large amount of data, resulting in a very slow detection speed, and the existing security detection methods are low in intelligence, can only be detected mechanically, lack learning ability, and are prone to loopholes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Rapid intelligent comparison and security detection method for big data of mobile malicious software
  • Rapid intelligent comparison and security detection method for big data of mobile malicious software

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] see Figure 1-2 , the present invention provides a technical solution: a fast intelligent comparison and security detection method for mobile malware big data, comprising the following steps, step 1, acquiring malware data sets; step 2, constructing a learning model; step 3, waiting Detection software preprocessing; step 4, similarity detection; step 5, obtaining detection results;

[0032] In the above step 1, the acquisition of the malware data set i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a rapid intelligent comparison and security detection method for big data of mobile malicious software, which comprises the following steps: 1, acquiring a malicious software data set; 2, constructing a learning model; 3, preprocessing the software to be detected; 4, carrying out similarity detection; and 5, obtaining a detection result. In the first step (2), feature extraction comprises static features and dynamic features, and the static features comprise PE head features, binary content features and the like. Compared with an existing malicious software detection method, the method in the invention is advantageous in that the intelligent degree of a software detection system is greatly improved by constructing a learning model, constructing a database through big data and training the learning model. Through networking updating of the database, the learning model can be continuously improved, it is ensured that the learning model can accurately cover currently popular malicious software, and the use risk of the software is reduced.

Description

technical field [0001] The invention relates to the technical field of mobile security, in particular to a method for fast intelligent comparison and security detection of mobile malicious software big data. Background technique [0002] With the rapid development of the mobile application field, more and more popular mobile software has been copied or repackaged, resulting in a large number of malicious software mixed in, which has caused great damage to the application ecosystem. Existing security detection The method uses code comparison to detect software security, which needs to process a large amount of data, resulting in a very slow detection speed, and the existing security detection methods are low in intelligence, can only be detected mechanically, lack learning ability, and are prone to loopholes. Contents of the invention [0003] The purpose of the present invention is to provide a fast and intelligent comparison and safety detection method for mobile malware ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F21/56G06N20/00
CPCG06F21/562G06F21/566G06N20/00
Inventor梁林娜
OwnerCHONGQING COLLEGE OF ELECTRONICS ENG