TC: Small: Exploring Malware Detection on Mobile Platforms

智能手机、上网本和笔记本电脑等移动设备越来越多地开始存储大量的个人信息，如电子邮件、朋友列表、当前位置和网上银行网站的密码。因此，它们迅速成为恶意实体的宝贵赏金。该项目正在研究检测移动设备上恶意软件的新技术。该项目主要研究三个重点：(1)能量感知恶意软件检测；(2)使用名为“有限本地内存”的新硬件架构保护恶意软件检测；(3)在社交网络环境下协同移动恶意软件检测。第一个重点是开发一个框架，以定量地研究移动设备的能量限制特性如何影响其运行恶意软件检测工具的能力。然后，它将使用该框架来探索能量感知恶意软件检测。第二篇文章探讨了智能手机上新兴的多核技术如何在每个核心都配备少量私有内存的情况下有效地利用安全性。第三个趋势探讨了智能手机和社交网络的融合如何能够更好地检测恶意软件。该项目的主要贡献在于承认了对移动恶意软件检测新方法的需求。随着我们越来越依赖智能手机来支持我们的日常活动，它们的安全性变得至关重要。该项目的成果正在传播，以提高公众对移动恶意软件和反恶意软件的认识。此外，与该项目相关的课程材料将被纳入罗格斯大学的硕士学位课程。

Mobile devices such as smartphones, netbooks and laptops are increasingly beginning to store vast amounts of personal information, such as email, friend lists, current location, and passwords to online banking websites. They are therefore swiftly becoming prized bounties for malicious entities. This project is investigating new techniques to detect malicious software on mobile devices. This project is investigating three key thrusts (1) energy-aware malware detection, (2) malware detector protection using a new hardware architecture called Limited Local Memory, and (3) collaborative mobile malware detection in a social network environment. The first thrust develops a framework to quantitatively investigate how the energy-constrained nature of mobile devices impacts their ability to run malware detection tools. It is then using the framework to explore energy-aware malware detection. The second thrust explores how emerging multicore technology on smartphones can be usefully leveraged for security if each core is equipped with a small amount of private memory. The third trend explores how the convergence of smartphones and social networking can enable better malware detection.The primary contribution of the project is in acknowledging the need for novel approaches for mobile malware detection. As we increasingly rely on our smartphones to support our daily activities, their security becomes paramount. The outcomes of the project are being disseminated to increase public awareness of mobile malware and anti-malware. In addition, course material related to the project will be incorporated into the Master's degree curriculum at Rutgers.