Title :
Intrusion Detection Techniques for Infrastructure as a Service Cloud
Author :
Tupakula, Udaya ; Varadharajan, Vijay ; Akku, Naveen
Author_Institution :
Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
Abstract :
Today, cloud computing is one of the increasingly popular technology where the customer can use the resources of the cloud services providers to perform their tasks and only pay for the resources they use. The customer virtual machines in the cloud are vulnerable to different types of attacks. In this paper we propose techniques for securing customer virtual machines from different types of attacks in the Infrastructure as a Service cloud and describe how this can be achieved in practice. Our model enables to differentiate attack traffic originating from each virtual machine even if multiple virtual machines on a VMM are sharing a single IP address.
Keywords :
cloud computing; security of data; virtual machines; IP address; VMM; attack traffic; cloud computing; cloud services; customer virtual machines; infrastructure-as-a-service cloud; intrusion detection techniques; Engines; IP networks; Libraries; Monitoring; Operating systems; Security; Virtual machining; Cloud Security; IaaS; Intrusion detection; Virtual machine based Security;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-0006-3
DOI :
10.1109/DASC.2011.128