Titlebook: Social Networking and Computational Intelligence; Proceedings of SCI-2 Rajesh Kumar Shukla,Jitendra Agrawal,K. K. Shukla Conference proceed

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An Efficient Honey Bee Approach for Load Adjusting in Cloud Environmenterms of CPU time, execution time and waiting time. The examination of these three parameters demonstrates that the proposed algorithm requires less CPU time, less execution time and less waiting time than existing algorithm, hence it shows better performance and less energy consumption than the exis

迎合

Development and Design Strategies of Evidence Collection Framework in Cloud Environmentf issues and challenges are remaining to address in this domain. Some major research domains are architectures, data collection and analysis, anti-forensic, incident first responders, roles and responsibilities, legal, standards, and some learning issues. In our research work, we mainly focus on the

motor-unit

A Survey on Cloud Federation Architecture and Challengesecture to which every participating cloud provider must comply. In nutshell, Federation of Clouds opens a domain of infinite possibilities to reshape the existing world of Cloud Computing and Information Technology, in general. It will provide a level playing field for emerging small and medium leve

ventilate

Multi-tier Authentication for Cloud Securitysources for which they had subscribed. Any type of unauthorized access will lead to some type of loss. In this paper, a technique to ensure authorized access by users to cloud resources and services has been proposed, so as to overcome the above-stated issues.

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Features Identification for Filtering Credible Content on Twitter Using Machine Learning Techniques random forest has been observed as the best classifier with accuracy and f1 score as 0.977 and 0.9911, respectively. Furthermore, out of 26 identified features, we have recognized 10 most distinctive features to efficiently distinguish the user tweets in different credibility classes.

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agnostic