Abstract
Cloud computing is a paradigm that presents network access to pooled configurable computing resources on demand. Resource management has an immense role in authorization and access control. In computing clouds, it is desirable, to avoid underutilization and over-utilization of computing resources because these may result wasting of resources or leads to lengthy response times. The factors related to operational and situational awareness can affect an access control system and ultimately the utilization of resources. The present study is intended to develop an adaptive access control model. The user behaviour is assessed in terms of the usage of resources by characterizing the cloud workload. This assessment is stored in the knowledge base. A recommender system uses the knowledge base to make the decisions about the adaption of access control policies, in order to get effective usage of the resources of cloud. The present paper presents an abstract representation of such model and its operational behaviour.
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Kaur, A., Verma, A. (2018). An Abstract Model for Adaptive Access Control in Cloud Computing. In: Tiwari, B., Tiwari, V., Das, K., Mishra, D., Bansal, J. (eds) Proceedings of International Conference on Recent Advancement on Computer and Communication . Lecture Notes in Networks and Systems, vol 34. Springer, Singapore. https://doi.org/10.1007/978-981-10-8198-9_28
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DOI: https://doi.org/10.1007/978-981-10-8198-9_28
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