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User-dependent vulnerability discovery model and its interdisciplinary nature
Amity Institute of Information Technology, Amity University.
Amity Centre for Interdisciplinary Research, Amity University.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-8111-6918
Amity Institute of Information Technology, Amity University.
2017 (English)In: Life Cycle Reliability and Safety Engineering, ISSN 2520-1352, Vol. 6, no 1, p. 23-29Article in journal (Refereed) Published
Abstract [en]

Software Vulnerability is a broad discipline that cannot be controlled only by the technologies. The holistic framework is required that statistically encompasses the entire security issues of IT organizations regardless of individual projects. Earlier researchers have developed several mathematical models that determined the vulnerabilities trend over time. Besides that, the most common victims of the vulnerabilities i.e., the software buyers or users were addressed theoretically without considering their impact on vulnerability discovery modeling. In this research paper, we examined the vulnerability discovery rate on the basis of potential users of commercial software. Here we propose an interdisciplinary model that highlights the relationship between the vulnerability intensity and the number of users of the software. The numerical illustration based on several real data sets is provided to validate the proposed user-dependent vulnerability discovery model.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 6, no 1, p. 23-29
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-63260DOI: 10.1007/s41872-017-0003-yOAI: oai:DiVA.org:ltu-63260DiVA, id: diva2:1093317
Conference
Joint International Conference on Interdisciplinary Research and 8th International Conference on Quality, Reliability, Infocom Technology and Business Operations (JIRICQRIT2017), Amity University, Noida, India, 8–10 February 2017
Note

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Available from: 2017-05-05 Created: 2017-05-05 Last updated: 2021-10-15Bibliographically approved

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Kumar, Uday

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