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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011 |
| Editors | Jinjun Chen, Wanchun Dou, Jianxun Liu, Laurence T. Yang, Jianhua Ma |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 744-751 |
| Number of pages | 8 |
| ISBN (Print) | 9780769546124 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and Computing, PICom 2011, 9th Int. Symp. on Embedded Computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC - Sydney, NSW, Australia Duration: 12 Dec 2011 → 14 Dec 2011 |
Other
| Other | 9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and Computing, PICom 2011, 9th Int. Symp. on Embedded Computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC |
|---|---|
| Country/Territory | Australia |
| City | Sydney, NSW |
| Period | 12/12/11 → 14/12/11 |