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Enhanced Ant Colony Optimization Based Secured Routing in Cloud Computing

Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 7)

Publication Date:

Authors : ; ;

Page : 231-239

Keywords : cloud; delay; energy; optimization; routing; security;

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Cloud Computing incorporates both the computing process paradigm and the environment for many users to share services and resources. This ecosystem has the advantage of worldwide availability through the Internet and can be shared at various levels. The level of operation, infrastructure, platform level applications and resources can be exchanged with many clients. Cloud Computing allows remote server access through the internet. Cloud Computing leverages much of the existing technology for the development of cloud environments, such as online servers, web browsers and virtualization. Any vulnerability associated with these systems thus also impacts the cloud and may have an important impact. Most data vulnerabilities happen during their travel to destination. Hence, there exists a need to provide security to the path where the data travels. Enhanced Ant Colony Optimization based Secured Routing (EACOSR) has been proposed in this paper to identify the best route in cloud computing to destination and provide security to the data travels in it. Blowfish algorithm has been modified to meet standard of cloud computing and it is applied in EACOSR to give elevated security to the data. EACOSR is developed with auto-update mechanism to optimize the tasks in cloud computing that results in reduced energy consumption and minimum packet delay. Cloudsim simulator is utilized to analyze the performance of EACOSR against the previous methods. Results with better values make an indication that EACOSR has better performance than the considered previous methods.

Last modified: 2021-08-15 12:57:31