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

被引：8

作者：

Win, Thu Yein ^{[1
]}

Tianfield, Huaglory ^{[1
]}

Mair, Quentin ^{[1
]}

机构：

[1] Glasgow Caledonian Univ, Sch Engn & Built Environm, Cloud & Data Lab, Glasgow G4 0BA, Lanark, Scotland

来源：

2015 IEEE 2ND INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (CSCLOUD) | 2015年

关键词：

virtualization security; cloud security; malware detection; rootkit detection; support vector machine; virtual machine introspection;

D O I：

10.1109/CSCloud.2015.54

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：295 / 300

页数：6

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