Using Orientation Sensors as a New Secure Lock Screen System for Smartphones

Abstract

Smartphones are currently used more than ever before. People tend to use them to store private and sensitive information, including online bank accounts, credit card numbers, passwords, private chats, even notes, and personal plans. As individuals rely on their sensitive data in so many critical applications, such as online financial transactions, social media accounts, business, and personal information; smartphones are the most convenient device for such uses. Hence, smartphone security is essential to protect their content from unauthorized users. Lock screen systems are the first layer in securing these sensitive data. It is also the most widely used user interface of a smartphone; it is crucial in ensuring user authentication. This paper presents a novel technique that could replace the traditional lock screen systems, by adopting gesture recognition methods, after using a machine learning (ML) algorithm in analyzing users’ behavior with their smartphones.