TRAP@NCI

Detecting DDoS Attacks in Cloud Computing Environment

Lonea, Alina Madalina, Popescu, Daniela Elena and Tianfield, Huanglory (2013) Detecting DDoS Attacks in Cloud Computing Environment. International Journal of Computers Communications & Control , 8 (1). pp. 70-78. ISSN 1841-9844

[img]
Preview
PDF
Download (418kB) | Preview

Abstract

This paper is focused on detecting and analyzing the Distributed Denial of Service (DDoS) attacks in cloud computing environments. This type of attacks is often the
source of cloud services disruptions. Our solution is to combine the evidences obtained from Intrusion Detection Systems (IDSs) deployed in the virtual machines (VMs) of
the cloud systems with a data fusion methodology in the front-end. Specifically, when the attacks appear, the VM-based IDS will yield alerts, which will be stored into the Mysql database placed within the Cloud Fusion Unit (CFU) of the front-end server. We propose a quantitative solution for analyzing alerts generated by the IDSs, using
the Dempster-Shafer theory (DST) operations in 3-valued logic and the fault-tree analysis (FTA) for the mentioned flooding attacks. At the last step, our solution uses the Dempsters combination rule to fuse evidence from multiple independent sources.

Item Type: Article
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Staff Research and Publications
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 08 Sep 2014 09:59
Last Modified: 09 Sep 2014 06:50
URI: http://trap.ncirl.ie/id/eprint/1543

Actions (login required)

View Item View Item