An Ontology-Based Context Model for Managing Security Knowledge in Software Development

Wen, Shao-Fang; Katt, Basel

doi:10.23919/fruct.2018.8588107

Cited by 6 publications

(9 citation statements)

References 26 publications

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“…Further, after the construction of pair-wise comparisons a matrix different fuzzy operation is performed on it and then defuzzification is performed. This work used alpha cut method for defuzzification [18] where alpha cut method as formulated in (4)- (6).…”

Section: Methodsmentioning

confidence: 99%

“…where 0 ≤α ≤ 1 and 0 ≤β≤ 1. Such that, ɳα(Loij)= (Miij-Loij).α+Loij (5) ɳα(Upij)=Upij-(Upij-Miij).α (6) Where α and β in these equations are used for the preferences of experts and intolerance of experts respectively. The values of α and β vary between 0 and 1.…”

Section: Methodsmentioning

confidence: 99%

“…Then, In (8) symbol I signify the unitary matrix. By applying equations (1)(2)(3)(4)(5)(6)(7)(8), the weights of every attribute with respect to all other attributes may be attained. For checking the consistency and continuing the AHP process, check the consistency ratio (CR) [31].…”

Section: C1mentioning

confidence: 99%

“…To cite a pertinent example, SHIELDS project targets constructing a secure software engineering environment which is assisted by the repository of the software security knowledge [6]. With the help of the repository, security models can be shared and stored representing the expertise of the specialists.…”

Section: Introductionmentioning

confidence: 99%

“…With the help of semantic tools to assist the security of software, several efforts have been made to achieve ontology-based modeling. Ontologies have clear and formal specifications [6]. Also, ontology is recognized universally as a tool for the modeling of context information.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Ontology-based context-sensitive software security knowledge management modeling

Alenezi¹

2020

IJECE

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The disconcerting increase in the number of security attacks on software calls for an imminent need for including secure development practices within the software development life cycle. The software security management system has received considerable attention lately and various efforts have been made in this direction. However, security is usually only considered in the early stages of the development of software. Thus, this leads to stating other vulnerabilities from a security perspective. Moreover, despite the abundance of security knowledge available online and in books, the systems that are being developed are seldom sufficiently secure. In this paper, we have highlighted the need for including application context sensitive modeling within a case-based software security management system. Furthermore, we have taken the context-driven and ontology-based frameworks and prioritized their attributes according to their weights which were achieved by using the Fuzzy AHP methodology.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: C1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ontology-based context-sensitive software security knowledge management modeling

Alenezi¹

2020

IJECE

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Context-Sensitive Case-Based Software Security Management System

Alenezi

Khan

2019

Intelligent Systems Applications in Software Engineering

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Ontological Augmentation and Analytical Paradigms for Elevating Security in Healthcare Web Applications

Alharbe

2024

SCPE

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The 4th and 5th industrial revelations provided huge access to a high volume of information in healthcare sectors. However, the vast majority of web applications are under attack constantly. Due to the huge volume of attack vectors in recent years, technical breaches to the web applications of healthcare sectors are becoming a common issue. Hence, it is essential to develop an effective framework that would help experts and healthcare practitioners in web application security management. In this research, we proposed an ontology-based technique for developing secure online web applications in healthcare sectors. This study presents a conceptual framework with 5 stages namely: idea understanding, requirement identification, design and code, threat classification, and facilitate. The proposed methodology involves several various advantage features such as providing a unified path for future professional applications. Also, the proposed solution provides a clear pathway for implementing the easy-to-use secure web application development in short term in the healthcare sector. Finally, the study used a multi-criteria decision-making methodology to undertake a performance simulation assessment. Out of the evaluated process, Fuzzy-AHP has shown better performance for scheduling each step of the final developed security system better. In the future, the proposed method will be evaluated using more databases in the healthcare sector to improve the applications of the proposed method.

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An Ontology-Based Context Model for Managing Security Knowledge in Software Development

Cited by 6 publications

References 26 publications

Ontology-based context-sensitive software security knowledge management modeling

Ontology-based context-sensitive software security knowledge management modeling

Context-Sensitive Case-Based Software Security Management System

Ontological Augmentation and Analytical Paradigms for Elevating Security in Healthcare Web Applications

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