Collaborative IDS Framework for Cloud

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

Text (Openaccess)
ijns-2016-v18-n4-p699-709.pdf - Published Version

Download (1MB) | Preview


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.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Article
Uncontrolled Keywords: nomaly detection, collaborative IDS, cloud security, intrusion detection, signature generation
Subjects: Computer science > Systems
Computer science > Special computer methods
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 21 Jan 2016 05:10
Last Modified: 21 Jan 2016 05:10
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 2134 Statistics for this ePrint Item