Detection of Malware and Kernel-Level Rootkits in Cloud Computing Environments

Thu Yein Win, H. Tianfield, Q. Mair
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引用次数: 13

Abstract

Cyberattacks targeted at virtualization infrastructure underlying cloud computing services has become increasingly sophisticated. This paper presents a novel malware and rookit detection system which protects the guests against different attacks. It combines system call monitoring and system call hashing on the guest kernel together with Support Vector Machines (SVM)-based external monitoring on the host. We demonstrate the effectiveness of our solution by evaluating it against well-known user-level malware as well as kernel-level rootkit attacks.
云计算环境下的恶意软件和内核级rootkit检测
针对云计算服务底层虚拟化基础设施的网络攻击变得越来越复杂。本文提出了一种新的恶意软件和漏洞检测系统,可以保护客户端免受各种攻击。它结合了客户机内核上的系统调用监视和系统调用散列,以及主机上基于支持向量机(SVM)的外部监视。我们通过对已知的用户级恶意软件以及内核级rootkit攻击进行评估来证明我们的解决方案的有效性。
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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