Abstract
“A smartphone is a mobile phone with an advanced mobile operating system which combines features of a personal computer and more important is its size, advanced processing capability as well as connectivity capabilities, smaller cost, and their ability to connect multi-purpose third party or devices applications. Smartphone’s are in high demands in both office and private work”. Use of android permission-based security model makes the application access to device resources very difficult. The main drawback is that users cannot have adequate control over the device and also it does not provide information how third party applications uses personal data of users. While installing applications and getting permission warnings users are unable to take right security decisions.This paper provides the overview about development of a risk assessment method in order to resolve security related issues at Android Smart phone. In this paper authors have given 3 methods:1)“Smartphone risk assessment (SRA) is the design of risk assessment implemented on Android Smartphone”. System Usability Scale (SUS) is being used as a questionnaire for the evaluation of SRA and the result is remarkable. The users find SRA very beneficial against the threats of the smartphones or any applications related to sensitive data leakage.2) “WHYPER a framework using Natural Language Processing (NLP) techniques which is basically used to identify sentences that describe the need for a given permission in an application description”.3)one more method of risk assessment that authors have discussed in this paper is RiskMon that gives idea about assessing risks based on machine learned ranking sustained by users for applications based on Android.The main advantage of this method is that if there is “any sensitive data leakage users can increase the level of security of the device.”
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More From: International Journal of Research in Engineering and Technology
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