Security in Cloud Computing using IDS with Map Reduce Framework and Virtualization CSci 530 Computer Security Systems

Cloud computing is a model for enabling convenient, on demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction [6]. It is a promising hosting for services, applications, information and infrastructure comprising of geographically distributed resources. However, with these advantages we are also storing a large amount of critical information which attracts the hackers. To prevent such attacks, Intrusion detection systems (IDS) have been used previously which are built manually. The drawback is that it finds difficult to classify intruders and thus requires an overhead of computation. Artificial intelligence (AI) has been used for anomaly detection, data reduction and induction, i.e. discovery of new rules to explain the data. [4] IDS when incorporated along with AI for feedback can be used to create more robust real time IDS. With the popularity of cloud computing, these IDS log files are also increasing rapidly, the effect is limited and inefficient by using the conventional analysis system. Proposed idea also employs Hadoop's MapReduce algorithm analysis of IDS files for real time analysis. This paper discusses about cloud computing focusing more on its security aspects. It surveys various technologies implemented and proposed for securing the data on the cloud in the past. Lastly, I propose a mechanism to combine this technologies to secure cloud from attacks, an intelligent cloud.