Implicit Authentication System for Smartphones Users Based on Touch Data

Autor:	Ghada ElTaweel, Reham Amin, Tarek Gaber
Rok vydání:	2015
Předmět:	Data source Engineering Work (electrical) Biometrics business.industry Mobile apps Confidentiality Authentication system Computer security computer.software_genre business computer
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783319212050 ECC
DOI:	10.1007/978-3-319-21206-7_22
Popis:	Currently smartphone’ users run many crucial applications (such as banking and emails) which contains a very confidential information. To secure this information, the built in sensors equipped with smartphone devices can be utilized. In this paper, based on these sensors, an implicit authentication system for smartphone’s users is proposed. A mobile App is developed to collect the data source of users’ biometrics and then features (pressure, position, size, and time) are extracted. classifiers were then applied to decide whether a user is the true owner of device or an impostor. The experimental results showed that our implicit authentication system achieved accuracy of 96.5 % which is better than a related work.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ac738d09635071505ab47bb8f6ec95f3 https://doi.org/10.1007/978-3-319-21206-7_22 Zobrazit plný text záznamu