Efficient approaches for intrusion detection in cloud environment

Abstract

Intrusion Detection System is one of the challenging research areas in Cloud Security. Security incidents such as Denial of service, scanning, malware code injection, virus, worm and password cracking are becoming common in cloud environment. These attacks can become a threat to the reputation of the company and can also cause financial loss if not detected on time. Hence securing the cloud from these types of attacks is very important. In this paper, we have proposed techniques to secure cloud environment by incorporating some of the efficient approaches in intrusion detection. We have focused on two major issues in IDS: efficient detection mechanism and speed of detection. We have proposed approaches to tackle these issues using Machine Learning and parallelization. We have also provided security frameworks to demonstrate how these approaches will be deployed in Cloud Environment. A preliminary analysis was conducted for some of the approaches and results are promising.