Abstract
Cloud computing has given a new approach of data accessing in a distributed manner, where the users has the advantage of higher data accessing feasibility. This approach works on the approach of outsourcing the storage requirements in public provider. The distributed approach has the advantage of low cost data accessing, scalable, location independent and reliable data management. It is observed that Conventional approaches are focused to achieve the objective of reliable and secure data access in cloud computing. However the signaling overhead in these approaches was not explored: in the exchange of control signal in cloud computing, it is needed that lower effort should be made for authentication and data integrity, so as more accessing provision exists. A new monitoring scheme is proposed to minimize the signaling overhead by monitoring record systems. In this paper, security issues also focused. In this process, at each of the data exchange, security risk arises, which are evaluated by different security measure such as Mean failure cost (MFC), and multi-dimensional failure cost (M2FC). To demonstrate our approach, To develop the suggested objectives, MATLAB interfacing with data feed toolbox was used, effectiveness of the proposed method has been shown by the experimental results.
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Shirisha Reddy, K., Bala Raju, M., Naik, R. (2019). Security Measures in Distributed Approach of Cloud Computing. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_3
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DOI: https://doi.org/10.1007/978-981-13-0617-4_3
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