Filtering Spam in Cloud using Bayesian Algorithm

Abstract

The latest trend and technology buzzword in the IT industry is cloud computing. By leveraging on cloud computing's characteristics such as resilience, fault tolerance and high availability, a new generation of cloud based security solutions has emerged. This paper specifically looks at the notion of merging spam filtering with cloud computing. As an initial experiment, an existing server based spam filtering toolkit was deployed into a commercial cloud computing environment. The results show some drawbacks related to scalability. To address this shortcoming a new model for a scalable cloud spam analysis framework is proposed.