Singh, D and Patel, D and Borisaniya, B and Modi, C
(2016)
Collaborative IDS Framework for Cloud.
International Journal of Network Security, 18 (4).
pp. 699-709.
ISSN 1816-353X
Abstract
Cloud computing is used extensively to deliver utility
computing over the Internet. Defending network acces-
sible Cloud resources and services from various threats
and attacks is of great concern. Intrusion Detection Sys-
tem (IDS) has become popular as an important network
security technology to detect cyber-attacks. In this paper,
we propose a novel Collaborative IDS (CIDS) Framework
for cloud. We use Snort to detect the known stealthy
attacks using signature matching. To detect unknown at-
tacks, anomaly detection system (ADS) is built using De-
cision Tree Classi�er and Support Vector Machine (SVM).
Alert Correlation and automatic signature generation re-
duce the impact of Denial of Service (DoS) /Distributed
DoS (DDoS) attacks and increase the performance and
accuracy of IDS.
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