Abstract
To protect the resources from various vulnerability factors, resources should have various routine security mechanisms such as antivirus capability, firewall capability, usage of secure network connections, provision of execution sandbox, invoking dynamic checkpointing, and intrusion detection system-related capabilities. Security is one of the key issues in distributed computing systems like grid and cloud. Whole system is secured when resources have self-defense capability. Adapting security measures in grid environment is an expensive mechanism and leads to delays in service provisioning whereas trust can be, relatively, a simple and fast solution. In view of the interest of the users and quick delivery of the services by the provider, integration of different combinations of trust levels and security mechanisms can reduce the costs and delays involved in adapting security measures. This paper proposes a new approach for integrating security levels along with trust in general for distributed computing systems and in particular for grid computing systems. Our previous work proposed a T-grid computational model suitable for grid computing systems, which will be used for experimenting and testing the proposed idea of the integration. Results of the studies are produced.
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Suresh Kumar, P., Ramachandram, S. (2019). Fuzzy-Based Integration of Security and Trust in Distributed Computing. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_72
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DOI: https://doi.org/10.1007/978-981-13-1592-3_72
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