Context-Sensitive Case-Based Software Security Management System

Alenezi, Mamdouh; Khan, Faraz Idris

doi:10.1007/978-3-030-30329-7_13

Cited by 1 publication

(3 citation statements)

References 15 publications

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“…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%

“…Defuzzification is performed using (4)- (8). The overall weights along with their corresponding priority have been shown in Table 20.…”

Section: Implementation For Context-driven Security Modeling Criteriamentioning

confidence: 99%

“…However, the work lacks application context-related cases. Modeling software security knowledge in a context-sensitive manner using ontologies can be found in [8] where software security-related knowledge is extracted by assessing the application context at hand.…”

Section: Introductionmentioning

confidence: 99%

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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: C1mentioning

confidence: 99%

“…Defuzzification is performed using (4)- (8). The overall weights along with their corresponding priority have been shown in Table 20.…”

Section: Implementation For Context-driven Security Modeling Criteriamentioning

confidence: 99%

See 1 more Smart Citation

Ontology-based context-sensitive software security knowledge management modeling

Alenezi¹

2020

IJECE

Self Cite

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Context-Sensitive Case-Based Software Security Management System

Cited by 1 publication

References 15 publications

Ontology-based context-sensitive software security knowledge management modeling

Ontology-based context-sensitive software security knowledge management modeling

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