A Systematic Review and Analysis of Mobile Botnet Detection for GPS Exploitation

Yusof, Muhammad; Saudi, Madihah Mohd; Ridzuan, Farida

doi:10.1166/asl.2017.8955

Cited by 2 publications

(1 citation statement)

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“…The malware apps payload of smartphone come in various forms, such as viruses, Trojans, worms and mobile botnet. However, mobile botnet is more dangerous as they pose serious threats [6][7][8]. The effect of mobile botnet attacks is disastrous as credential information is exposed to an attacker, user activities and location are leaked, a smartphone user being overbilled because of unauthorized Short Message System (SMS) used, a smartphone can be remotely control by an attacker for other various malicious deeds and smartphone resources are overloaded by malicious activities.…”

Section: Introductionmentioning

confidence: 99%

RAPID-Risk Assessment of Android Permission and Application Programming Interface (API) Call for Android Botnet

Abdullah¹,

Saudi²

2018

IJET

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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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Section: Introductionmentioning

confidence: 99%