An efficient security risk estimation technique for Risk-based access control model for IoT
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Abstract The need to increase information sharing in the Internet of Things (IoT) applications made the risk-based access control model to be the best candidate for both academic and commercial organizations. Risk-based access control model carries out a security risk analysis on the access request by using IoT contextual information to provide access decisions dynamically. Unlike current static access control approaches that are based on predefined policies and give the same result in different situations, this model provides the required flexibility to access system resources and works well in unexpected conditions and situations of the IoT system. One of the main issues to implement this model is to determine the appropriate risk estimation technique that is able to generate accurate and realistic risk values for each access request to determine the access decision. Therefore, this paper proposes a risk estimation technique which integrates the fuzzy inference system with expert judgment to assess security risks of access control operations in the IoT system. Twenty IoT security experts from inside and outside the UK were interviewed to validate the proposed risk estimation technique and build the fuzzy inference rules accurately. The proposed risk estimation approach was implemented and simulated using access control scenarios of the network router. In comparison with the existing fuzzy techniques, the proposed technique has demonstrated it produces precise and realistic values in evaluating security risks of access control operations in the IoT context.
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The approach in [76] used real-time contextual attributes of the subject making the access request to estimate risk and make the appropriate access decision.
“This approach used real-time contextual attributes of the subject making the access request to estimate the risk and make the appropriate access decision.”
From Zero Trust Architecture (ZTA): A Comprehensive Survey (2022) · cites this paper as [76]
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Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810 · see citing works
How Many Interviews Are Enough?: An Experiment with Data Saturation and Variability
Guest, G., Bunce, A., & Johnson, L. (2006) · Field Methods · doi:10.1177/1525822x05279903 · Cited by 20,808 · see citing works
Basics of Qualitative Research
Ozanne, J. L., Strauss, A., & Corbin, J. M. (1992) · Journal of Marketing Research · doi:10.2307/3172751 · Cited by 17,852 · see citing works
The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—I
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90036-5 · Cited by 12,187 · see citing works
The concept of a linguistic variable and its application to approximate reasoning-III
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90017-1 · Cited by 12,172 · see citing works
(1990) · Cited by 11,110 · see citing works
The qualitative research interview
DiCicco‐Bloom, B., & Crabtree, B. F. (2006) · Medical Education · doi:10.1111/j.1365-2929.2006.02418.x · Cited by 4,995 · see citing works
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1× · see citing works
“This is because it can provide unlimited capabilities that can help us in our daily life activities and enhance the quality of our life [1].”
BackgroundSocial Science Research: Principles, Methods and Practices
Bhattacherjee, A., Toleman, M., Rowling, S., Frederiks, A., & Andersen, N. (2019) · doi:10.26192/q7w89 · Cited by 2,030 · see citing works
Fog Computing and the Internet of Things: A Review
Atlam, H. F., Walters, R. J., & Wills, G. B. (2018) · Big Data and Cognitive Computing · doi:10.3390/bdcc2020010 · Cited by 612 · see citing works
Self-citationManaging Information Security Risks: The OCTAVE Approach
Alberts, C., & Dorofee, A. (2002) · CERN Document Server (European Organization for Nuclear Research) · Cited by 352 · see citing works
The Usefulness of Mean and Median Frequencies in Electromyography Analysis
Phinyomark, A., Thongpanja, S., Hu, H., Phukpattaranont, P., & Limsakul, C. (2012) · InTech eBooks · doi:10.5772/50639 · Cited by 305 · see citing works
Fundamentals of Fuzzy Logic Control — Fuzzy Sets, Fuzzy Rules and Defuzzifications
Bai, Y., & Wang, D. (2006) · Advances in industrial control · doi:10.1007/978-1-84628-469-4_2 · Cited by 284 · see citing works
Authentication and Access Control in the Internet of Things
Liu, J., Xiao, Y., & Chen, C. L. P. (2012) · International Conference on Distributed Computing Systems Workshops · doi:10.1109/icdcsw.2012.23 · Cited by 279 · see citing works
Fuzzy Multi-Level Security: An Experiment on Quantified Risk-Adaptive Access Control
Cheng, P.-C., Rohatgi, P., Keser, C., Karger, P. A., Wagner, G. M., & Reninger, A. S. (2007) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2007.21 · Cited by 272 · see citing works
An Efficient Authentication and Access Control Scheme for Perception Layer of Internet of Things
Ye, N., Zhu, Y., Wang, R., Malekian, R., & Qiao-min, L. (2014) · Applied Mathematics & Information Sciences · doi:10.12785/amis/080416 · Cited by 235 · see citing works
Integration of Cloud Computing with Internet of Things: Challenges and Open Issues
Atlam, H. F., Alenezi, A., Alharthi, A., Walters, R. J., & Wills, G. B. (2017) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings-greencom-cpscom-smartdata.2017.105 · Cited by 200 · see citing works
Self-citationNaik, G. R. (2012) · InTech eBooks · doi:10.5772/3315 · Cited by 178 · see citing works
Qualitative and Quantitative Simulation: Bridging the Gap
Berleant, D., & Kuipers, B. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00050-7 · Cited by 137 · see citing works
2007 IEEE Symposium on Security and Privacy (SP '07)
(2007) · doi:10.1109/sp12743.2007 · Cited by 137 · see citing works
Risk-based access control systems built on fuzzy inferences
Ni, Q., Bertino, E., & Lobo, J. (2010) · ACM Symposium on Information, Computer and Communications Security · doi:10.1145/1755688.1755719 · Cited by 123 · see citing works
Practical Applications of Fuzzy Technologies
Zimmermann, H.-J. (1999) · The Handbooks of fuzzy sets series · doi:10.1007/978-1-4615-4601-6 · Cited by 114 · see citing works
Quantitative and qualitative decision‐making methods in simulation modelling
Eldabi, T., Irani, Z., Paul, R. J., & Love, P. E. D. (2002) · Management Decision · doi:10.1108/00251740210413370 · Cited by 111 · see citing works
Developing an Adaptive Risk-Based Access Control Model for the Internet of Things
Atlam, H. F., Alenezi, A., Walters, R. J., Wills, G. B., & Daniel, J. (2017) · 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings-greencom-cpscom-smartdata.2017.103 · Cited by 94 · see citing works
Self-citationInternet of Things: State-of-the-art, Challenges, Applications, and Open Issues
Atlam, H. F., Walters, R. J., & Wills, G. B. (2018) · International Journal of Intelligent Computing Research · doi:10.20533/ijicr.2042.4655.2018.0112 · Cited by 91 · see citing works
Self-citationDynamic risk-based decision methods for access control systems
Shaikh, R. A., Adi, K., & Logrippo, L. (2012) · Computers & Security · doi:10.1016/j.cose.2012.02.006 · Cited by 73 · see citing works
Enforcing Access Control Using Risk Assessment
Diep, N., Hung, L., Zhung, Y., Lee, S., Lee, Y.-K., & Lee, H. (2007) · European Conference on Universal Multiservice Networks (ECUMN) · doi:10.1109/ecumn.2007.19 · Cited by 64 · see citing works
Validation of an Adaptive Risk-based Access Control Model for the Internet of Things
Atlam, H. F., Alenezi, A., Hussein, R. K., & Wills, G. B. (2018) · International Journal of Computer Network and Information Security · doi:10.5815/ijcnis.2018.01.04 · Cited by 62 · see citing works
Self-citationAn Introduction to Information System Risk Management
Elky, S. (2007) · Cited by 52 · see citing works
A dynamic risk-based access control architecture for cloud computing
dos Santos, D. R., Westphall, C. M., & Westphall, C. B. (2014) · IEEE Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2014.6838319 · Cited by 48 · see citing works
A framework for risk assessment in access control systems
Khambhammettu, H., Boulares, S., Adi, K., & Logrippo, L. (2013) · Computers & Security · doi:10.1016/j.cose.2013.03.010 · Cited by 46 · see citing works
A Fuzzy Modeling Approach for Risk-Based Access Control in eHealth Cloud
Li, J., Bai, Y., & Zaman, N. (2013) · 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications · doi:10.1109/trustcom.2013.66 · Cited by 36 · see citing works
Using Risk in Access Control for Cloud-Assisted eHealth
Sharma, M., Bai, Y. Z., Chung, S., & Dai, L. (2012) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc.2012.153 · Cited by 34 · see citing works
A Metric-Based Approach to Assess Risk for “On Cloud” Federated Identity Management
Arias-Cabarcos, P., Almenárez, F., Marín, A., Díaz-Sánchez, D., & Sánchez-Guerrero, R. (2012) · Journal of Network and Systems Management · doi:10.1007/s10922-012-9244-2 · Cited by 34 · see citing works
Contextual risk-based access control
Điệp, N. N., Lee, S., Lee, Y. K., & Lee, H. (2007) · Cited by 33 · see citing works
Context-Aware Authentication for the Internet of Things
Habib, K., & Leister, W. (2015) · International Conference on Autonomic and Autonomous Systems · Cited by 31 · see citing works
Risk-based Dynamic Access Control for a Highly Scalable Cloud Federation
dos Santos, D. R., Westphall, C. M., & Westphall, C. B. (2013) · International Conference on Emerging Security Information, Systems and Technologies · Cited by 25 · see citing works
Using Game Theory to Analyze Risk to Privacy: An Initial Insight
Rajbhandari, L., & Snekkenes, E. A. (2011) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-20769-3_4 · Cited by 18 · see citing works
Quantifying IT estimation risks
Kulk, G. P., Peters, R. J. A., & Verhoef, C. (2009) · Science of Computer Programming · doi:10.1016/j.scico.2009.09.001 · Cited by 17 · see citing works
Toward Confirming a Framework for Securing the Virtual Machine Image in Cloud Computing
Hussein, R. K., Alenezi, A., Atlam, H. F., Mohammed, M., Walters, R. J., & Wills, G. B. (2017) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj020406 · Cited by 9 · see citing works
Self-citationPrivacy and Identity Management for Life
Michele Bezzi, A., Duquenoy, P., Fischer‐Hübner, S., Hansen, M., & Zhang, G. (2010) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-14282-6 · Cited by 9 · see citing works
Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast
Pang, W., & Coghill, G. M. (2015) · Biosystems · doi:10.1016/j.biosystems.2015.04.003 · Cited by 5 · see citing works
A Traffic Aware Routing Protocol for Congestion Avoidance in Content-Centric Network
Kim, J., Ryu, M.-W., Cha, S.-H., & Cho, K.-H. (2014) · International Journal of Multimedia and Ubiquitous Engineering · doi:10.14257/ijmue.2014.9.9.08 · Cited by 2 · see citing works
Based on the Part of Routing Information Congestion Modeling Research with the Large-Scale Network
An, S., & Wang, Z. (2014) · International Journal of Future Generation Communication and Networking · doi:10.14257/ijfgcn.2014.7.2.17 · Cited by 1 · see citing works
Flagged first, then by citations
3 of the 48 references couldn’t be matched to a known paper.
Research works printed but not linked: 7
- [13]13. R. McGraw, "Risk-Adaptable Access Control ( RAdAC )," inPrivilege Manag. Work. NIST-National Inst. Stand. Technol. Technol. Lab., 2009.
- [24]24. J. Yin, C. Tang, X. Zhang, and M. McIntosh, "On estimating the security risks of composite software services," in In First Program Analysis for Security and Safety Workshop Discussion (PASSWORD 2006), 2006.
- [27]27. D. Kahneman, P. Slovic, and A. Tversky, "Judgment under uncertainty: heuristics and biases," Science (80-. )., vol. 185, no. 4157, pp. 1124-1131, 1974.
- [28]28. D. Pluess, A. Groso, and T. Meyer, "Expert Judegement in Risk Analysis: A Strategy to Overcome Uncertainities," Chem. Eng. Trans., vol. 31, pp. 307-312, 2013.
- [29]29. Da Ruan, Fuzzy Sets And Fuzzy Information Granulation Theory. Bejing: Bejing Normal Univeristy Press, 2000.
- [30]30. K. Boc, "Fuzzy approach to risk analysis and its advantages against the qualitative approach," in Proceedings of the 12th International Conference "Reliability and Statistics in Transportation and Communication, 2012, no. 12, pp. 234-239.
- [43]43. U. Kose, "Fundamentals of Fuzzy Logic with an Easy-to-use , Interactive Fuzzy Control Application," Int. J. Mod. Eng. Res., vol. 2, no. 3, pp. 1198-1203, 2012.
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“More recently, authors in [76] used fuzzy inference in conjunction with expert knowledge to estimate risk when granting access in an IoT context.”
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Energy efficient techniques for iot application on resource aware fog computing paradigm
Khan, K. M. A., & Shanavas, A. R. M. (2025) · THE SCIENTIFIC TEMPER · doi:10.58414/scientifictemper.2025.16.2.11
Hussain, Q. I. M., & Kale, V. K. (2025) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.70208
- Authors
- Atlam, H. F., & Wills, G. B.
- Affiliations
- University of Southampton (GB)
- Corresponding author
- Atlam, Hany F.
- Venue
- Internet of Things
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 6
- Pages
- 100052
- ISSN
- 2542-6605 (ISSN-L)
- OpenAlex
- W2936201262
- Semantic Scholar
- 486956fa82f865da54e30acd2375900b296317ed
- Cited by
- 60
- References
- 48
- Citations by year
- 2025: 12 · 2024: 6 · 2023: 12 · 2022: 15 · 2021: 9 · 2020: 4 · 2019: 2
- FWCI
- 15.11
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Internet of Things (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- University of Derby Online Research Archive. (University of Derby) (submittedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- risk-based access control, Internet of Things security, fuzzy inference system, expert opinion, fuzzy inference rules
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