Performance analysis of the dynamic trust model algorithm using the fuzzy inference system for access control. (June 2021)
- Record Type:
- Journal Article
- Title:
- Performance analysis of the dynamic trust model algorithm using the fuzzy inference system for access control. (June 2021)
- Main Title:
- Performance analysis of the dynamic trust model algorithm using the fuzzy inference system for access control
- Authors:
- Abirami, G
Venkataraman, Revathi - Abstract:
- Highlights: The Novel Dynamic Trust Model Algorithm is used to address the dynamicity problems of trust to access the resources. Dynamic trust value is calculated based on four parameters such as Performance, Direct observation, Feedback and Expected trust. The Mathematical trust calculations for business data have been framed. Using Mamdani fuzzy inference rules the trust values have been classified. The performance measuring metrics such as precision, Mean Absolute Error (MAE), recall, F-Score and ROC have been found in Dynamic Trust Model Algorithm. Abstract: Accessing company resources such as personal data, financial data, and company networks in the dynamic business environment is a vital task. This paper proposes a Dynamic Trust Model Algorithm (DTMA) using fuzzy inference rules for access control. The novelty is finding the unsteady behaviour of an employee in a varying period using trust mathematical computation. Based on four parameters such as Performance (P), Direct Observation (DO), Expected Trust (ET) and Feedback (F), the trust value is calculated. To manage the deliberate altering behaviour of the hostile employees, a dynamic Trust Value (TV) has been calculated and restrict their harmful actions. Also, the performance and accuracy of the DTMA have been assessed and compared to other models such as DLATrust, DyTrust and SecTrust. The proposed DTMA gives better results in terms of accuracy, precision, recall, F-Score and Receiver Operating CharacteristicsHighlights: The Novel Dynamic Trust Model Algorithm is used to address the dynamicity problems of trust to access the resources. Dynamic trust value is calculated based on four parameters such as Performance, Direct observation, Feedback and Expected trust. The Mathematical trust calculations for business data have been framed. Using Mamdani fuzzy inference rules the trust values have been classified. The performance measuring metrics such as precision, Mean Absolute Error (MAE), recall, F-Score and ROC have been found in Dynamic Trust Model Algorithm. Abstract: Accessing company resources such as personal data, financial data, and company networks in the dynamic business environment is a vital task. This paper proposes a Dynamic Trust Model Algorithm (DTMA) using fuzzy inference rules for access control. The novelty is finding the unsteady behaviour of an employee in a varying period using trust mathematical computation. Based on four parameters such as Performance (P), Direct Observation (DO), Expected Trust (ET) and Feedback (F), the trust value is calculated. To manage the deliberate altering behaviour of the hostile employees, a dynamic Trust Value (TV) has been calculated and restrict their harmful actions. Also, the performance and accuracy of the DTMA have been assessed and compared to other models such as DLATrust, DyTrust and SecTrust. The proposed DTMA gives better results in terms of accuracy, precision, recall, F-Score and Receiver Operating Characteristics (ROC). Graphical abstract: Image, graphical abstract … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 92(2021)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 92(2021)
- Issue Display:
- Volume 92, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 92
- Issue:
- 2021
- Issue Sort Value:
- 2021-0092-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06
- Subjects:
- Trust model -- Access control -- Attribute Based Access Control -- Performance -- Direct Observation -- Expected Trust -- Feedback -- Dynamic Trust Model Algorithm
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2021.107132 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
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