Anomaly-based IDS implementation in cloud environment using BOAT algorithm

Innovations are essential to ride the inevitable tide of revolutions. Most of enterprises are striving to reduce their computing cost through the means of virtualization. This demand of reducing the computing cost has led to the innovation of cloud computing. With the increasing number of companies resorting to employ resources in the cloud, the protection of the users´ data is becoming a significant issue of concern. This report tackles this concern for enterprises in terms of security with intrusion detection while adopting cloud computing. The main aim of this research is to understand the security threats and identify a security technique used to mitigate them in cloud computing. The intrusion detection will be undertaken on the basis of anomaly-detection on the data generated from the transactions captured within the cloud network. The data captured will undergo intense data mining through clustering and then performing classification using BOAT algorithm to detect the presence of intruders on the cloud. The mining approach will consider various attributes of the data to scrutinize the user behaviour.