Biblio

From the past few years, DDoS attack incidents are continuously rising across the world. DDoS attackers have also shifted their target towards cloud environments as majority of services have shifted their operations to cloud. Various authors proposed distinct solutions to minimize the DDoS attacks effects on victim services and co-located services in cloud environments. In this work, we propose an approach by utilizing incoming request separation at the container-level. In addition, we advocate to employ scale-inside out [10] approach for all the suspicious requests. In this manner, we achieve the request serving of all the authenticated benign requests even in the presence of an attack. We also improve the usages of scale-inside out approach by applying it to a container which is serving the suspicious requests in a separate container. The results of our proposed technique show a significant decrease in the response time of benign users during the DDoS attack as compared with existing solutions.

Many organizations around the world recognize the vitality of cloud computing. However, some concerns make organizations reluctant to adopting cloud computing. These include data security, privacy, and trust issues. It is very important that these issues are addressed to meet client concerns and to encourage the wider adoption of cloud computing. This paper develops a user privacy framework based upon on emerging security model that includes access control, encryption and protection monitor schemas in the cloud environment.