Publication Type : Journal Article
Publisher : IEEE
Source : 11th International Conference on Cloud Computing, Data Science & Engineering
Url : https://ieeexplore.ieee.org/abstract/document/9377129
Campus : Amaravati
School : School of Computing
Year : 2021
Abstract : The contemporary struggle that rests upon security risk assessment of Information Systems is its feasibility in the presence of an indeterminate environment when information is insufficient, conflicting, generic or ambiguous. But as pointed out by the security experts, most of the traditional approaches to risk assessment of information systems security are no longer practicable as they fail to deliver viable support on handling uncertainty. Therefore, to address this issue, we have anticipated a comprehensive risk assessment model based on Bayesian Belief Network (BBN) and Fuzzy Inference Scheme (FIS) process to function in an indeterminate environment. The proposed model is demonstrated and further comparisons are made on the test results to validate the reliability of the proposed model.
Cite this Research Publication : Basumatary, B., Kumar, C., & Yadav, D. K. (2021, January). Security Risk Assessment of Information Systems in an Indeterminate Environment. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 82-87). IEEE.