Paper Info
Title
AMAD: Resource Consumption Profile-Aware Attack Detection in IaaS Cloud
Abstract
Cloud infrastructures are prone to various anomalies due to their ever-growing complexity and dynamics. Monitoring behavior of dynamic resource management systems is necessary to guarantee cloud reliability. In this paper, we present AMAD, a system designed for detecting an abusive use of dynamic virtual machine migration, in the case of the abusive virtual machine migration attack. This attack is performed by malicious manipulation of the amounts of resources consumed by Virtual Machines (VMs). AMAD identifies the VMs possibly at the origin of the attack by analyzing resource consumption profiles of the VMs to detect the fluctuating and highly correlated ones. We have implemented AMAD on top of the VMware ESXi platform and evaluated it both on our lab platform and under real cloud configurations. Our results show that AMAD pinpoints the attacking VMs which were intentionally injected in our experimentations, with high accuracy.
Year
DOI
Venue
2014
10.1109/UCC.2014.48
UCC '14 Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing
Keywords
Field
DocType
cloud computing,resource allocation,security of data,virtual machines,amad system,iaas cloud infrastructure,vm,vmware esxi platform,cloud configuration,cloud reliability,dynamic resource management systems,dynamic virtual machine migration,infrastructure-as-a-service,resource consumption profile-aware attack detection,resource consumption profiles,anomaly detection,dynamic resource management,reliability,security,vm migration,vm profiling
Resource management,Resource consumption,Anomaly detection,Virtual machine,Computer science,Memory management,Dynamic priority scheduling,Operating system,Cloud computing
Conference
ISSN
Citations 
PageRank 
2373-6860
1
0.34
References 
Authors
22
4
Name
Order
Citations
PageRank
Kahina Lazri1354.94
Sylvie Laniepce2304.12
Haiming Zheng310.34
Jalel Ben-Othman472567.82