移动android设备的数据安全评估

I. Khokhlov, L. Reznik
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引用次数: 15

摘要

内置各种传感器的基于android的设备的广泛普及使其成为各种研究领域中流行的数据收集平台。然而,Android操作系统的复杂性和漏洞可能会导致传感器数据被操纵和伪造,这将对数据的安全和质量产生很大影响。本文提出了一种基于恶意行为可能性评估的数据安全和质量评估方法,这些恶意行为利用了Android操作系统的某些特性和漏洞以及已安装的应用程序。介绍Android操作系统体系结构中与安全相关的特性和主要的安全机制。本文给出了用于数据安全评估的指标选择,以及它们的集成方法,该方法计算了代表传感器源数据可信度水平的总体安全评估分数。给出了综合安全评价分数的计算实例,并进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data security evaluation for mobile android devices
Vast spreading of Android-based devices with embedded diverse sensors make them popular platforms for data collection in various research domains. However, Android OS complexity and vulnerabilities may facilitate sensor data manipulation and falsification that will have a high impact on data security and quality. This paper presents a data security and quality evaluation method based on a possibility assessment of malicious actions that exploit certain Android OS features and vulnerabilities as well as applications installed. It describes the Android OS architecture features related to security and major security mechanisms. The paper shows metrics chosen for data security evaluation and the developed method of their integration that computes Overall Security Evaluation Score representing sensor originated data trustworthiness level. The examples of Overall Security Evaluation Score calculation are presented and analyzed.
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