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Fuzzy based security risk assessment of e-government data centre in Indian context

Fuzzy based security risk assessment of e-government data centre in Indian context E-government data centres (EDC) in India cannot be considered adequately safe and secure as these do have multiple sources of vulnerabilities that are exploited by diverse numerous threats. Therefore, these create a variety of risk postures. Published works for risk assessment are partial and mainly based on a five-point scale. Also, no work on the overall risk assessment of EDC has been found so far. We, therefore, introduce a fuzzy logic-based risk assessment system (FLRAS) to assess the aggregated risk of EDC, considering multi-sourced threats and vulnerabilities. The FLRAS is based on a set of audit-level metrics developed from a large set of real-world audit reports of a given EDC in India. Our system of computation has been used to compute risk in the first step. We then show that once such overall risk is computed, it can be further reduced substantially by mitigating the gaps as mentioned in audit reports. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Government, an International Journal Inderscience Publishers

Fuzzy based security risk assessment of e-government data centre in Indian context

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1740-7494
eISSN
1740-7508
DOI
10.1504/eg.2022.123838
Publisher site
See Article on Publisher Site

Abstract

E-government data centres (EDC) in India cannot be considered adequately safe and secure as these do have multiple sources of vulnerabilities that are exploited by diverse numerous threats. Therefore, these create a variety of risk postures. Published works for risk assessment are partial and mainly based on a five-point scale. Also, no work on the overall risk assessment of EDC has been found so far. We, therefore, introduce a fuzzy logic-based risk assessment system (FLRAS) to assess the aggregated risk of EDC, considering multi-sourced threats and vulnerabilities. The FLRAS is based on a set of audit-level metrics developed from a large set of real-world audit reports of a given EDC in India. Our system of computation has been used to compute risk in the first step. We then show that once such overall risk is computed, it can be further reduced substantially by mitigating the gaps as mentioned in audit reports.

Journal

Electronic Government, an International JournalInderscience Publishers

Published: Jan 1, 2022

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