DocumentCode
1822647
Title
A Self-Protection Mechanism against Stepping-Stone Attacks for IaaS Clouds
Author
Kourai, Kenichi ; Azumi, Takeshi ; Chiba, Shigeru
fYear
2012
fDate
4-7 Sept. 2012
Firstpage
539
Lastpage
546
Abstract
For Infrastructure-as-a-Service (IaaS) clouds, stepping-stone attacks via hosted virtual machines (VMs) are critical. This type of attack uses compromised VMs as stepping stones for attacking the outside hosts. Not only compromised VMs but also IaaS providers are regarded as attackers. For self-protection, IaaS clouds should perform active response against stepping-stone attacks. However, it is difficult to stop only outgoing attacks at edge firewalls of clouds because edge firewalls can use only information in network packets. In this paper, we propose a new self-protection mechanism against stepping-stone attacks for IaaS clouds, which is called xFilter. xFilter is a packet filter running in the virtual machine monitor (VMM) underlying VMs and achieves pinpoint active response by using VM introspection. VM introspection enables xFilter in the VMM to obtain information on packet senders directly from the memory of VMs. When xFilter detects outgoing attacks, it automatically generates appropriate filtering rules with information on sender processes. Our experiments showed that xFilter could stop only outgoing attacks as much as possible. The performance degradation due to xFilter was less than 13% in usual cases.
Keywords
cloud computing; computer network security; virtual machines; IaaS clouds; VM introspection; VM memory; VMM; cloud computing; edge firewalls; filtering rule generation; infrastructure-as-a-service clouds; network packets; outgoing attack detection; packet filtering; pinpoint active response; self-protection mechanism; stepping-stone attacks; virtual machine monitor; xFilter; Detectors; IP networks; Kernel; Servers; Sockets; Virtual machines; cloud computing; operating systems; outgoing attacks; packet filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4673-3084-8
Type
conf
DOI
10.1109/UIC-ATC.2012.139
Filename
6332045
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