Behavior-Based Security for Mobile Devices Using Machine Learning Techniques

S. Rashad, Jonathan M. R. Byrd
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引用次数: 2

Abstract

The goal of this research project is to design and implement a mobile application and machine learning techniques to solve problems related to the security of mobile devices. We introduce in this paper a behavior-based approach that can be applied in a mobile environment to capture and learn the behavior of mobile users. The proposed system was tested using Android OS and the initial experimental results show that the proposed technique is promising, and it can be used effectively to solve the problem of anomaly detection in mobile devices.
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使用机器学习技术的移动设备基于行为的安全
本研究项目的目标是设计和实现一个移动应用程序和机器学习技术,以解决与移动设备安全相关的问题。本文介绍了一种基于行为的方法,该方法可以应用于移动环境中,以捕获和学习移动用户的行为。在Android操作系统上对所提出的系统进行了测试,初步实验结果表明,所提出的技术是有前途的,可以有效地用于解决移动设备中的异常检测问题。
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