SpySaver:使用激励措施来解决间谍软件问题

S. Saroiu, A. Wolman
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引用次数: 4

摘要

尽管业界和研究团体提出了许多解决间谍软件的方案,但这个问题仍在继续增长。今天的许多反间谍软件方法的灵感来自于针对相关安全问题的技术,例如蠕虫、DoS攻击、计算机病毒和垃圾邮件。尽管这些技术已经过改进以解决间谍软件,但它们仍然无效,因为它们依赖于受感染的主机来检测和删除间谍软件。一旦主机受到威胁,攻击者通常会找到简单的方法来逃避间谍软件的检测和清除。本文提出了一种新的反间谍软件方法SpySaver,它减少了部署间谍软件的动机。我们的方法不能阻止间谍软件安装,也不能从中恢复。相反,SpySaver通过创建伪造信息来降低间谍软件收集的信息的价值。我们的目标是产生足够多的伪造信息,使间谍软件收集到的信息贬值,使我们从一开始就没有收集这些信息的动机。在本文中,我们介绍了我们的方法和一个工具的初步设计,该工具可以产生有关Web用户浏览模式的真实伪造信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SpySaver: using incentives to address spyware
Despite the many solutions proposed by industry and the research community to address spyware, this problem continues to grow. Many of today's anti-spyware approaches are inspired by techniques used against related security problems, such as worms, DoS attacks, computer viruses, and spam. Although these techniques have been retrofitted to address spyware, they remain ineffective because they rely on the compromised host to detect and remove spyware. Once a host is compromised, attackers often find simple ways to escape spyware detection and removal. This paper presents SpySaver - a novel anti-spyware approach that reduces the incentive to deploy spyware. Our approach does not prevent spyware installations, nor does it recover from them. Instead, SpySaver decreases the value of the information spyware collects by creating counterfeit information. Our goal is to generate enough counterfeit information to devalue the information gathered by spyware to the point that we eliminate the incentive to collect it in the first place. In this paper, we present our approach and an initial design of a tool that produces realistic counterfeit information about the browsing patterns of Web users.
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