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Understanding and recommending security requirements from problem domain ontology: A cognitive three-layered approach
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Publication Year
2020-11-01
Publisher
Elsevier Inc.
Citation
Journal of Systems and Software, Vol.169
Keyword
OntologyRequirements engineeringSecurity
Mesh Keyword
Knowledge sourcesLayered approachesModeling methodologyMultiple dimensionsReference modelingSecurity issuesSecurity requirementsSociotechnical systems
All Science Classification Codes (ASJC)
SoftwareInformation SystemsHardware and Architecture
Abstract
Socio-technical systems (STS) are inherently complex due to the heterogeneity of its intertwined components. Therefore, ensuring STS security continues to pose significant challenges. Persistent security issues in STS are extremely critical to address as threats to security can affect entire enterprises, resulting in significant recovery costs. A profound understanding of the problems across multiple dimensions of STS is the key in addressing such security issues. However, we lack a systematic acquisition of the scattered knowledge related to design, development, and execution of STS. In this work, we methodologically analyze security issues from a requirements engineering perspective. We propose a cognitive three-layered framework integrating various modeling methodologies and knowledge sources related to security. This framework helps in understanding essential components of security and making recommendations of security requirements regarding threat analyses and risk assessments using Problem Domain Ontology (PDO) knowledge base. We also provide tool support for our framework. With the goal-oriented security reference model, we demonstrate how security requirements are recommended based on PDO, with the help of the tool. The organized acquisition of knowledge from SME groups and the domain working group provides rich context of security requirements, and also enhances the re-usability of the knowledge set.
ISSN
0164-1212
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31366
DOI
https://doi.org/10.1016/j.jss.2020.110695
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Type
Article
Funding
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2020R1F1A1075605 ). The authors would like to thank anonymous reviewers for their valuable comments. We are also immensely grateful to Sangeeta Dey and Sihn Hye Park for their help on the manuscript.This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2020R1F1A1075605). The authors would like to thank anonymous reviewers for their valuable comments. We are also immensely grateful to Sangeeta Dey and Sihn Hye Park for their help on the manuscript.
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Lee, Seok-Won Image
Lee, Seok-Won이석원
Department of Software and Computer Engineering
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