RAPID-risk assessment of android permission and application programming interface (API) call for android botnet

Android applications may pose risks to smartphone users. Most of the current security countermeasures for detecting dangerous apps show some weaknesses. In this paper, a risk assessment method is proposed to evaluate the risk level of Android apps in terms of confidentiality (privacy), integrity (fi...

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Bibliographic Details
Main Authors: Abdullah, Zubaile, Mohd Saudi, Madihah
Format: Article
Published: Science Publishing Corporation 2018
Subjects:
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author Abdullah, Zubaile
Mohd Saudi, Madihah
author_facet Abdullah, Zubaile
Mohd Saudi, Madihah
author_sort Abdullah, Zubaile
collection UTHM
description Android applications may pose risks to smartphone users. Most of the current security countermeasures for detecting dangerous apps show some weaknesses. In this paper, a risk assessment method is proposed to evaluate the risk level of Android apps in terms of confidentiality (privacy), integrity (financial) and availability (system). The proposed research performs mathematical analysis of an app and returns a single easy to understand evaluation of the app’s risk level (i.e., Very Low, Low, Moderate, High, and Very High). These schemes have been tested on 2488 samples coming from Google Play and Android botnet dataset. The results show a good accuracy in both identifying the botnet apps and in terms of risk level
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spelling uthm.eprints-58152022-01-24T01:11:07Z http://eprints.uthm.edu.my/5815/ RAPID-risk assessment of android permission and application programming interface (API) call for android botnet Abdullah, Zubaile Mohd Saudi, Madihah T Technology (General) TA168 Systems engineering Android applications may pose risks to smartphone users. Most of the current security countermeasures for detecting dangerous apps show some weaknesses. In this paper, a risk assessment method is proposed to evaluate the risk level of Android apps in terms of confidentiality (privacy), integrity (financial) and availability (system). The proposed research performs mathematical analysis of an app and returns a single easy to understand evaluation of the app’s risk level (i.e., Very Low, Low, Moderate, High, and Very High). These schemes have been tested on 2488 samples coming from Google Play and Android botnet dataset. The results show a good accuracy in both identifying the botnet apps and in terms of risk level Science Publishing Corporation 2018 Article PeerReviewed Abdullah, Zubaile and Mohd Saudi, Madihah (2018) RAPID-risk assessment of android permission and application programming interface (API) call for android botnet. International Journal of Engineering & Technology, 7 (4.15). pp. 49-54. ISSN 2227-524X http://dx.doi.org/10.14419/ijet.v7i4.15.21370
spellingShingle T Technology (General)
TA168 Systems engineering
Abdullah, Zubaile
Mohd Saudi, Madihah
RAPID-risk assessment of android permission and application programming interface (API) call for android botnet
title RAPID-risk assessment of android permission and application programming interface (API) call for android botnet
title_full RAPID-risk assessment of android permission and application programming interface (API) call for android botnet
title_fullStr RAPID-risk assessment of android permission and application programming interface (API) call for android botnet
title_full_unstemmed RAPID-risk assessment of android permission and application programming interface (API) call for android botnet
title_short RAPID-risk assessment of android permission and application programming interface (API) call for android botnet
title_sort rapid risk assessment of android permission and application programming interface api call for android botnet
topic T Technology (General)
TA168 Systems engineering
work_keys_str_mv AT abdullahzubaile rapidriskassessmentofandroidpermissionandapplicationprogramminginterfaceapicallforandroidbotnet
AT mohdsaudimadihah rapidriskassessmentofandroidpermissionandapplicationprogramminginterfaceapicallforandroidbotnet