The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A fuzzy approach to trust based access control in internet of things
Open accessAbstract
In the Internet of thing (IoT), the activities of daily life are supported by a multitude of heterogeneous, loosely coupled ubiquitous devices. Traditional access control model are not suitable to the nomadic, decentralized and dynamic scenarios in the IoT where identities are not known in advance. This makes the trust management in IoT more promising to address the access control issues .This paper present a Fuzzy approach to the Trust Based Access Control (FBAC) with the notion of trust levels for identity management. The presented fuzzy approach for trust calculations deals with the linguistic information of devices to address access control in the IoT. The simulation result shows that the fuzzy approach for trust based access control guarantees scalability ad it is energy efficient. This paper also proposes FTBAC framework or trust based dynamic access control in distributed IoT. FTBAC framework i a flexible and scalable a increasing number o devices do not affect the functioning and performance.
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“According to the authors, the access control is directly proportional to the trust established for the device requesting access.”
From Zero Trust Architecture (ZTA): A Comprehensive Survey (2022) · cites this paper as [177]
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“In [177], the authors applied a Fuzzylogic in Trust Based Access Control (FTBAC) mechanism, which incorporates contextual experience, knowledge and recommendations about the device to calculate trust.”
From Zero Trust Architecture (ZTA): A Comprehensive Survey (2022) · cites this paper as [177]
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Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,960
The Computer for the 21st Century
Weiser, M. (1991) · Scientific American · doi:10.1038/scientificamerican0991-94 · Cited by 10,017
Fuzzy Logic with Engineering Applications
Ross, T. J. (2010) · Wiley eBooks · doi:10.1002/9781119994374 · Cited by 6,659
Decentralized Trust Management
Blaze, M., Feigenbaum, J., & Lacy, J. (1996) · Cited by 1,834
A linguistic self-organizing process controller
Procyk, T. J., & Mamdani, E. H. (1979) · Automatica · doi:10.1016/0005-1098(79)90084-0 · Cited by 1,080
A LOGIC FOR UNCERTAIN PROBABILITIES
Jøsang, A. (2001) · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488501000831 · Cited by 1,014
Decentralized trust management
Blaze, M., Feigenbaum, J., & Lacy, J. (2002) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/secpri.1996.502679 · Cited by 975
Information theoretic framework of trust modeling and evaluation for ad hoc networks
Sun, Y. L., Yu, W., Han, Z., & Liu, K. J. R. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.861389 · Cited by 611
A Survey of Trust and Reputation Management Systems in Wireless Communications
Yu, H., Shen, Z., Miao, C., et al. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2059690 · Cited by 298
Trust Negotiation in Identity Management
Bhargav-Spantzel, A., Squicciarini, A., & Bertino, E. (2007) · IEEE Security & Privacy · doi:10.1109/msp.2007.46 · Cited by 64
Identity establishment and capability based access control (IECAC) scheme for Internet of Things
Mahalle, P. N., Anggorojati, B., Prasad, N. R., et al. (2012) · VBN Forskningsportal (Aalborg Universitet) · Cited by 56
Self-citationIdentity driven capability based access control (ICAC) scheme for the Internet of Things
Mahalle, P. N., Anggorojati, B., Prasad, N. R., et al. (2012) · doi:10.1109/ants.2012.6524227 · Cited by 34
Self-citationTrust control in heterogeneous networks for Internet of Things
Liu, Y., & Wang, K. (2010) · International Conference on Computer Application and System Modeling · doi:10.1109/iccasm.2010.5620458 · Cited by 25
Ross, T. J. (2010) · doi:10.1002/9781119994374.ch11 · Cited by 23
Adjei, J. K., & Olesen, H. (2011) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2011.941894 · Cited by 18
Trust Management in the Pervasive Computing Era
Trček, D. (2011) · IEEE Security & Privacy · doi:10.1109/msp.2011.95 · Cited by 15
Access Control Mechanism Based on Trust Quantification
Ma, S., He, J., Shuai, X., et al. (2010) · doi:10.1109/socialcom.2010.154 · Cited by 9
Prolog to A Survey of Trust and Reputation Management Systems in Wireless Communications
Esch, J. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2060252 · Cited by 8
Trust calculation and delivery control in trust-based access control
Lei, J., Cui, G., & Xing, G. (2008) · Wuhan University Journal of Natural Sciences · doi:10.1007/s11859-008-0625-z · Cited by 7
Trust Calculation and Delivery Control in Trust-Based Access Control
Lei, L., Jian-yun, , C., et al. (2008) · Acta Scientiarum Naturalium Universitatis Sunyatseni · Cited by 1
Cited by
Sorted by citations
Zero Trust Architecture (ZTA): A Comprehensive Survey
Syed, N. F., Shah, S. W., Shaghaghi, A., Anwar, A., Baig, Z., & Doss, R. (2022) · IEEE Access · doi:10.1109/access.2022.3174679 · Cited by 406
“In [177], the authors applied a Fuzzy-logic in Trust Based Access Control (FTBAC) mechanism, which incorporates contextual experience, knowledge and recommendations about the device to calculate trust.”
MethodSecuring the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Access control in Internet-of-Things: A survey
Ravidas, S., Lekidis, A., Paci, F., & Zannone, N. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.06.017 · Cited by 175
Metadata
- Authors
- Mahalle, P. N., Thakre, P. A., Prasad, N. R., & Prasad, R.
- Affiliations
- Aalborg University (DK)
- Savitribai Phule Pune University (IN)
- Venue
- Wireless VITAE 2013
- Publisher
- IEEE
- Published
- 2013-06
- Pages
- 1-5
- OpenAlex
- W2038206765
- Semantic Scholar
- edda7ec81f94fe8f480d1abfb9e8145efca14b63
- Cited by
- 153
- References
- 21
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 9 · 2023: 13 · 2022: 14 · 2021: 13 · 2020: 21 · 2019: 25 · 2018: 15 · 2017: 16 · 2016: 9 · 2015: 9 · 2014: 4
- FWCI
- 22.77
- Type
- conference paper
- Language
- en
- Open access
- green
- www.scopus.com
- Locations
- International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (Wireless VITAE) (publishedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- trust-based access control, Internet of Things, fuzzy logic, trust management, identity management, trust levels, linguistic information, dynamic access control, scalability, energy efficiency
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