Detecting denial of service attacks in the cloud

Kumar, Raneel and Lal, Sunil P. and Sharma, Alokanand (2016) Detecting denial of service attacks in the cloud. [Conference Proceedings]

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Abstract

In this paper, an approach to protecting virtual
machines (VMs) against denial of service (DoS) attacks in a cloud
environment is proposed. An open source cloud computing
platform (Eucalyptus) has been deployed, and experimentation
was carried out on this setup. We investigate attacks emanating
from one or more virtual machines (VMs) to another VM in a
multi-tenancy cloud environment. Various types of DoS attacks
are mounted on a webserver VM. To detect such attacks from a
cloud provider’s perspective, an intrusion detection system (IDS)
is needed. In this research we propose and implement an IDS
which incorporates a packet sniffer, feature extractor and a
classifier as part of its design. We have experimented with the
one-class support vector machines (SVM) algorithm for
classification of the attacks. The dataset containing time-based
traffic flow features is passed through the classifier to detect the
attack traffic from legitimate traffic. The proposed IDS design
shows promising results in being able to detect the ICMP Flood,
Ping-of-Death, UDP Flood, TCP SYN Flood, TCP LAND and
DNS Flood attacks with high classification accuracies.

Item Type:	Conference Proceedings
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Fulori Nainoca - Waqairagata
Date Deposited:	13 Mar 2017 03:52
Last Modified:	13 Mar 2017 22:07
URI:	https://repository.usp.ac.fj/id/eprint/9671

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