Detecting camera based traitor and fraudulent apps on smartphone

Autor: Jayakumar Loganathan, V. Manogajapathi, R. Vishnu Sekhar
Rok vydání: 2016
Předmět:
Zdroj: 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave).
DOI: 10.1109/startup.2016.7583987
Popis: In recent trends, android smartphones are rapidly in use by a number of users because of its user friendly and open source architecture. There are millions of android applications are available in the open market place. But we cannot trust most of the apps, which may steal the user privacy content or any confidential data. However, some works have studied mobile phones, multimedia securities and also android permissions. In this paper, to focus on the security issues related to camera based attacks on smartphones. The fraudulent application and its traitor can be detected by using the defense system that detects the attacks. By use of the defense system the users can be saved before getting into the vulnerability. To evaluate the defense system we have proposed a camera based fraudulent application for feasibility study and also we analyzed the performance of the system with the fraudulent applications from the open android market.
Databáze: OpenAIRE