An android malware static detection scheme based on cloud security structure
by Bencheng Yu; Peisen Song; Xiaoyuan Xu
International Journal of Security and Networks (IJSN), Vol. 13, No. 1, 2018

Abstract: With the popularity of Android system mobile phones, the security threat brought by its own security mechanism flaws is increasingly severe. Therefore, it is necessary to design a highly efficient and accurate detection scheme for Android malwares. In this paper, an Android malware static detection scheme which is based on cloud security structure is designed. For one thing, the main detection works of the detection scheme are deployed on the cloud servers, which can make the detection work efficient and fast. For another, use a highly efficient classifying algorithm to make a static analysis on the source code of targeted APK (Android Package) file can determine whether the application (app) is safe or malicious more accurately. Finally, in order to estimate the detection efficiency and accuracy, 1143 malware app samples and 2937 normal applied app samples are collected.

Online publication date: Sun, 25-Mar-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Security and Networks (IJSN):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com