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Incorporating information and communication technology in the operation of the electricity grid is undoubtedly contributing to a more cost-efficient, controllable, and flexible power grid. Although this technology is promoting flexibility and convenience, its integration with the electricity grid is rendering this critical infrastructure inherently vulnerable to cyberattacks that have potential to cause large-scale and farreaching damage. In light of the growing need for a resilient smart grid, developing suitable security mechanisms has become a pressing matter. In this work, we investigate the effectiveness of a model-free state-of-the-art attack-detection method recently proposed by the cybersecurity community in detecting common types of cyberattacks on voltage control in distribution grids. Experimental results show that, by monitoring raw controller and smart-meter data in real time, it is possible to detect denial of service, replay, and integrity attacks, thus contributing to a resilient and more secure grid.

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In recent years, cloud has been recognized as one of the emerging worldwide technologies in which shared resources are provided on the user's request at any time. The whole work of cloud is based on three service models (IaaS, SaaS and PaaS) and four deployment models (Public, Private, Community and Hybrid). In the cloud computing, Load balancing is one of the most challenging issues. It is a mechanism that disseminates the dynamic workload equitably over every node in the entire cloud to avoid a circumstance where few nodes are intensely loaded while others are idle or doing little work. It accomplishes a high client fulfilment and resource usage proportion, thus enhancing the overall performance and resource utilization of the system. In this paper, we describe some of the basic load balancing algorithms and literature review on the various algorithms proposed by different authors.

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