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Android malicious software detection system and method

A malicious software and detection system technology, applied in the direction of instruments, electronic digital data processing, platform integrity maintenance, etc., can solve the problems of long Android malware detection time and low detection accuracy, reduce training and recognition time, improve Classification accuracy, effect of number reduction

Active Publication Date: 2017-06-13
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problems such as long detection time and low detection accuracy of traditional Android malware

Method used

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  • Android malicious software detection system and method
  • Android malicious software detection system and method
  • Android malicious software detection system and method

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Experimental program
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Embodiment

[0068] see Figure 4 , is a schematic diagram of the comparison between TF-SFD proposed by the present invention and the original TF-IDF. It can be seen from the figure that the classification accuracy of the permission (Permission) feature selected by TF-SFD is higher than that of TF-IDF. When selecting the first 20 permissions feature, the classification accuracy is greater than 84%, which is close to using all authority features.

[0069] see Figure 5 , for the present invention uses TF-SFD for API feature extraction, the classification accuracy of the first 100 features can be higher than that of all features.

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Abstract

The invention provides an Android malicious software detection system and an Android malicious software detection method. The method comprises the steps of extracting API (Application Program Interface) characteristics and permission characteristics by use of a characteristic extraction module; calculating TF-SFD of each API characteristic and permission characteristic according to a characteristic selection module, ranking the numbers of TF-SFD from large to small, selecting first M1 API characteristics and M2 permission characteristics to form a characteristic matrix; and training the characteristic matrix through a class identification module to obtain a classification model, and identifying the classification module. The above-mentioned detection method is simple, small in calculated amount and relatively high in detection effect.

Description

technical field [0001] The invention relates to the technical field of software detection, in particular to an Android malware detection system and method. Background technique [0002] Mobile malware refers to any application capable of performing malicious actions on a smartphone or tablet computer, leading to system crashes, loss or disclosure of user confidential information. The application of smart terminals and cloud computing accelerates the integration of information technology and communication technology, and promotes the rapid development of the mobile Internet. With the development of the mobile Internet, the number of mobile terminal users is increasing day by day. However, driven by economic interests, the number of mobile malware has exploded, and various mobile malware families are ever-changing, which seriously threatens the healthy development of the mobile Internet and brings harm to users and smart terminals that cannot be ignored. The security risks o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/56
CPCG06F21/563G06F2221/033
Inventor 张巍樊春玲姜青山任环蔡芷铃
Owner SHENZHEN INST OF ADVANCED TECH
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