Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description

Abstract

Cloud computing is one of the largest emerging utility services that is expected to grow enormously over the next decade. Many organizations are moving into hybrid cloud/hosted computing models. Single cloud service provider introduces cost and environmental challenges. Also, multi-cloud solution implemented by the Cloud tenant is suboptimal as it requires expensive adaptation costs. Cloud Federation is a useful structure for aggregating cloud based services under a single umbrella to share resources and responsibilities for the benefit of the member cloud service providers. An efficient security model is crucial for successful cloud business. However, with the advent of large scale and multi-tenant environments, the traditional perimeter boundaries along with traditional security practices are changing. Defining and securing asset and enclave boundaries is more challenging, and system perimeter boundaries are more susceptible to breach. This paper to describe security best practices for Cloud Federation. The paper also describes a tool and technique for detecting anomalous behavior in resource usage across the federation participants. This is a particularly serious issue because of the possibility of an attacker potentially gaining access to more than one CSP federation member. Specifically, this technique is developed for Cloud Federations since they have to deal with heterogeneous multi-platform environments with a diverse mixture of data and security log schema, and it has to do this in real time. A Semantic-less Breach detection system that implements a self-learning system was prototyped and resulted in up to 87% True-Positive rate with 93% True-Negative.