Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Distributed Intrusion Detection in Clouds Using Mobile Agents
ADVCOMP '09 Proceedings of the 2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences
Securing Cloud from DDOS Attacks Using Intrusion Detection System in Virtual Machine
ICCSN '10 Proceedings of the 2010 Second International Conference on Communication Software and Networks
SP 800-145. The NIST Definition of Cloud Computing
SP 800-145. The NIST Definition of Cloud Computing
An authentication framework for peer-to-peer cloud
Proceedings of the 6th International Conference on Security of Information and Networks
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One of the major security challenges in cloud computing is the detection and prevention of denial-of-service (DoS) attacks. In order to detect and prevent DoS attacks as well as other malicious activities at the network layer, we propose a framework which integrates a network intrusion detection system (NIDS) in the Cloud infrastructure. We use snort and decision tree (DT) classifier to implement this framework. It aims to detect network attacks in Cloud by monitoring network traffic, while maintaining performance and service quality. To validate our approach, we evaluate the performance and detection efficiency by using the freely available NSL-KDD and KDD experimental intrusion datasets. The results show that the proposed framework has a higher detection rate with low false positives at an affordable computational cost.