Active defense system based on Android platform software behavior detection

A technology of active defense and behavior, applied in the direction of platform integrity maintenance, etc., can solve problems such as security risks of the Android platform

Inactive Publication Date: 2013-07-24
JIANGNAN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the potential safety hazards of the Android platform, the present invention explores a new security detection system based on behavior detecti

Method used

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  • Active defense system based on Android platform software behavior detection
  • Active defense system based on Android platform software behavior detection
  • Active defense system based on Android platform software behavior detection

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Embodiment Construction

[0024] specific implementation plan

[0025] Such as figure 1 Shown in is the overall architecture diagram of the present invention, including three modules of data collection, PCA dimension reduction and neural network classification. Data collection uses Linux system management commands to collect intrusion-related process information as mobile phone intrusion features, and then uses PCA to reduce the dimensionality of the intrusion features, select the features that best reflect the sample, and finally introduce the dimensionality-reduced features into the BP neural network classifier Perform training to obtain the best model parameters, and use these parameters to classify and identify the samples to be tested.

[0026] Such as figure 2 The illustrated embodiment is a data collection flow diagram of the present invention. The data collection module is mainly used to collect intrusion data information of related software or programs.

[0027] Since the Android kernel i...

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Abstract

The invention relates to an active defense system based on Android platform software behavior detection. The active defense system based on Android platform software behavior detection is used for actively defending mobile phone security threats. According to the active defense system, process data are collected by using a top command or a PS command, and ActivityManager.MemoryInfo () and ActivityManager.AppProcessInfo () which are provided by an API (Application Programming Interface) of Android; the collected data are analyzed by using a PCA (Principal Component Analysis) method, features which best reflect samples are extracted, and the samples are loaded to a neural network model; and partial samples are randomly selected for learning so as to obtain model parameters which serve as model parameters of an evaluation portion, thus, the samples to be detected are evaluated, whether the samples are normal or not is judged, and then, whether some process is abnormal or not is judged. According to the active defense system, PCA dimensionality reduction is introduced into mobile phones in a manner of being combined with a BP (Back Propagation) neural network, so that the traditional computation amount and memory capacity of the BP neural network are reduced, the active defense system can be excellently implemented on mobile devices with limited computing power and storage capacity, such as the mobile phones, and the security of the mobile phones is guaranteed.

Description

technical field [0001] The invention relates to an active defense system based on Android platform software behavior detection. Background technique [0002] The wide application of smartphones today, especially the provision of the Android open platform, makes the Android smartphone market show a huge growth advantage, but also because of the openness of the platform, it is more vulnerable to malicious software attacks. [0003] Currently existing mobile phone security software mainly transplants the security software in the form of comparing feature codes in the PC directly to the mobile phone. The form of signature comparison is very effective for killing known malicious programs, but it is helpless for unknown malicious programs. Nowadays, the number of malicious programs is increasing geometrically. Compared with malicious programs, the generation and update of signature databases are often Lag, many times anti-virus software can not kill unknown malicious programs. A...

Claims

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Application Information

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IPC IPC(8): G06F21/57
Inventor 余丹孙子文李金阳郭晶叶永昆
Owner JIANGNAN UNIV
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