Black Box Testing for Cloud-Based Client Security Software in Network Behaviors

Bin Cao, Zhen Chen, Hongjia Liu, G. Ma, Peng Zhang, Guodong Peng
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引用次数: 2

Abstract

With the rapid growth of Internet, the amount of malicious codes is exploding. Some security software vendors provide new cloud-based safeguard software for client users. These software, as part of Internet ware, consist of many modules with different functions and Internet behaviors. The Trojan scanning module, for instance, is based on cloud scanning function, which is achieved by collecting a large number of suspicious files on users' hosts and scanning them in remote cloud platforms. While providing security, they also bring a serious problem of user privacy. In this paper, we use black box testing method to analyze the network behavior of four safeguard software, especially the Trojan scanning module based on cloud scanning function. In specific, we conduct extensive experiments to examine the network behaviors of the major function modules used by these safeguard software. In this paper we present a reasonable network behavior model that can help the safeguard software to protect users' privacy. One way of looking at our contributions is the network behavior comparison and analysis of four safeguard software which are widely used in China. And the experimental results validate our claims either.
基于云的客户端安全软件在网络行为中的黑盒测试
随着互联网的快速发展,恶意代码的数量呈爆炸式增长。一些安全软件供应商为客户端用户提供新的基于云的安全软件。这些软件作为互联网软件的一部分,由许多具有不同功能和网络行为的模块组成。例如,木马扫描模块基于云扫描功能,通过收集用户主机上的大量可疑文件,并在远程云平台上进行扫描来实现。在提供安全的同时,它们也带来了严重的用户隐私问题。本文采用黑盒测试的方法对四种安全防护软件的网络行为进行了分析,特别是基于云扫描功能的木马扫描模块。具体来说,我们进行了大量的实验来检验这些安全软件所使用的主要功能模块的网络行为。本文提出了一个合理的网络行为模型,可以帮助安全软件保护用户的隐私。对中国广泛使用的四种安全防护软件的网络行为进行比较和分析,是研究我们的贡献的一种方式。实验结果也验证了我们的结论。
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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