Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/162223
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- Title
- Intrusion detection techniques for infrastructure as a service cloud
- Related
- International Conference on Dependable, Autonomic and Secure Computing (9th : 2011) (12 - 14 December 2011 : Sydney, Australia)
- Related
- Chen, Jinjun; Dou, Wanchun; Liu, Jianxun; Yang, Laurence T. and Ma, Jianhua. Proceedings : IEEE 9th International conference on dependable, autonomic and secure computing (DASC 2011), p.744-751
- DOI
- 10.1109/DASC.2011.128
- Publisher
- Piscataway, NJ : IEEE
- Date
- 2011
- Author/Creator
- Tupakula, Udaya
- Author/Creator
- Varadharajan, Vijay
- Author/Creator
- Akku, Naveen
- Description
- 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.
- Description
- 8 page(s)
- Subject Keyword
- Cloud Security
- Subject Keyword
- IaaS
- Subject Keyword
- Intrusion detection
- Subject Keyword
- Virtual machine based Security
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/162223
- Identifier
- ISBN:9780769546124
- Identifier
- mq_res-ext-2-s2.0-84856085485
- Language
- eng
- Reviewed
