Abstract
Since the mobile devices become more popular because of its advanced functionality, it is targeted by more malicious and intrusive applications. Even though there are more security measures are available for these systems, it is failed to meet the user reliance to make decisions. In android devices, the installation of any android apps seeks a user permission for avoiding the upcoming vulnerabilities. The user decision for installing certain app is considering the risk information. When these risk information is vast and more complex, it is ignored by the user, which leads the wrong installation decision. For turning the user’s focus to read the risk or permission information before installing any app, the risk information is provided in a summary and more understandable format. We propose a combined technique of naïve algorithm and sentiment classification for efficiently conveying such risk information to user. By this, the good or correct decision is made by the user, which prevents the android devices from more system vulnerabilities.
Keywords
Mobile security
risk communication
smart phones
risk score.
Authors
How to Cite this Article
G.Preethi, Dr.P.Marikkannu (2016).
"EFFECTIVE RISK MANAGEMENT FOR MOBILE APPLICATION".
International Journal of Contemporary Research in Computer Science and Technology,
2(3), pp. 491-494.
