Collaborative IDS Framework for Cloud

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

A survey on security issues and solutions at different layers of Cloud computing

Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since Cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as threats introduced by newer architectures raise many security and privacy concerns. In this paper, we survey the factors affecting Cloud computing adoption, vulnerabilities and attacks, and identify relevant solution directives to strengthen security and privacy in the Cloud environment