基于时间和位置功率的智能手机恶意代码检测技术

Bryan Dixon, Shivakant Mishra
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引用次数: 14

摘要

越来越多的病毒、恶意软件和其他威胁旨在访问存储在智能手机上的系统资源和信息。本文研究了三种检测恶意代码的技术的有效性,这些技术基于个人功耗配置文件,重点是时间和位置。本项目使用Google的Android平台进行测试和数据采集。本文描述了这些技术的设计、实现和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time and Location Power Based Malicious Code Detection Techniques for Smartphones
There is a growing number of viruses, malware, and other threats designed to gain access to system resources and information stored on smartphones. This paper examines the effectiveness of three techniques for detecting malicious code based on individual power consumption profiles with a focus on time and location. This project used Google's Android platform for testing and data collection. The paper describes the design, implementation, and evaluation of each of these techniques.
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