Power Based Malicious Code Detection Techniques for Smartphones

Bryan Dixon, Shivakant Mishra, Jean-Luc Pepin
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引用次数: 16

Abstract

In recent years there have been a growing number of viruses, root kits, and malware designed to gain access to system resources and information stored on smartphones. This paper examines the effectiveness of two smartphone-specific techniques for detecting malicious code behavior based on individual power consumption profiles based on time and location. Prototypes for each of the techniques were developed for use with Google's Android platform and were each evaluated over periods of six months or more involving several real-world users. This paper describes the design and implementation of each of these prototypes as well as the evaluation of their results.
基于功率的智能手机恶意代码检测技术
近年来,越来越多的病毒、rootkit和恶意软件被设计用来访问存储在智能手机上的系统资源和信息。本文研究了基于时间和位置的个人功耗配置文件的两种智能手机特定技术检测恶意代码行为的有效性。每一种技术的原型都是为谷歌的Android平台开发的,每一种技术都经过了六个月或更长时间的评估,涉及到几个现实世界的用户。本文描述了这些原型的设计和实现,以及对其结果的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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