Smart City Gnosys

Smart city article details

Title	Context-Aware Trust Metrics For Non Critical Iot Applications: An Intrinsic Data Quality Approach
ID_Doc	15939
Authors	Mendonca F.; Abdennadher N.; El-Maliki T.; Poleggi M.E.
Year	2022
Published	2022 13th International Conference on Information and Communication Systems, ICICS 2022
DOI	http://dx.doi.org/10.1109/ICICS55353.2022.9811146
Abstract	Trust mechanisms are a promising solution to the security and reliability dilemma of city scale (smart city) IoT sensor deployments in non-critical scenarios. These deployments often employ low-cost sensor networks, where strict security policies are difficult to enforce, and whose IoT devices may exhibit incoherent sensing behavior. Because of the diverse disturbances that may affect the sensing data path, the integrity of the measurements has to be assessed by the data-consuming application, so that possibly misbehaving sensors and/or biased data can be identified. This paper proposes a trust model which assesses the trustworthiness of data collected from IoT sensors deployed at a city scale. The model is based on a set of context-aware trust metrics that leverage proximity information and context signatures. This intrinsic data-quality approach has the potentials to overcome the limitations of consensus-based metrics, which cannot easily detect anomalies affecting several neighbor sensors. Our new metrics are being validated over a real data-set coming from a wide LoRaWAN-based noise sensor deployment in a urban area. © 2022 IEEE.
Author Keywords	Anomaly Detection; Data Integrity; Data Quality; Internet of Things; Noncritical IoT Applications; Sensor Networks; Trust Metrics

Similar Articles

Id	Similarity	Authors	Title	Published
43173	0.883	Chakraborty N.; Sharma A.; Dutta J.; Kumar H.D.	Privacy-Preserving Data Quality Assessment For Time-Series Iot Sensors	Proceedings of 2024 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2024 (2024)
17322	0.868	Julio H. Buelvas P.; Fernando E. Avila B.; Natalia Gaviria G.; Danny A. Munera R.	Data Quality Estimation In A Smart City'S Air Quality Monitoring Iot Application	2021 2nd Sustainable Cities Latin America Conference, SCLA 2021 (2021)
59074	0.862	Mao H.; Wu X.; Wang J.	Trust Maintenance In Iot For Smart Cities With Complex Network Metrics	Proceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023 (2023)
902	0.859	Prem Kumar G.E.; Lydia M.	A Comprehensive Overview On Impact Of Trust Models In Internet Of Things	Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021 (2021)
20660	0.859	Hickert C.; Tekeoglu A.; Maurio J.; Watson R.; Syed D.; Chavis J.; Brown G.; Sookoor T.	Distributed Ledgers For Enhanced Machine-To-Machine Trust In Smart Cities	Proceedings - International Conference on Computer Communications and Networks, ICCCN, 2022-July (2022)
13994	0.858	Zheng Y.; Li Z.; Zeng Z.; Zhang S.; Xiong N.N.; Liu A.	Cite: A Content Based Trust Evaluation Scheme For Data Collection With Internet Of Everything	Information Sciences, 647 (2023)
55	0.855	Asad S.; Powell B.; Long C.; Nicklas D.; Lagesse B.	'Where Am I?': Unraveling Challenges In Smart City Data Cleaning To Establish A Ground Truth Framework	2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024 (2024)
59060	0.854	Xia Z.; Wang Z.; Liu X.	Trust Based Active Game Data Collection Scheme In Smart Cities	ACM Transactions on Embedded Computing Systems, 24, 1 (2024)
59083	0.853	Haseeb K.; Saba T.; Rehman A.; Ahmed Z.; Song H.H.; Wang H.H.	Trust Management With Fault-Tolerant Supervised Routing For Smart Cities Using Internet Of Things	IEEE Internet of Things Journal, 9, 22 (2022)
5657	0.852	Liu H.; Jiang T.	A Trusted Metric-Based Security Protection Scheme For Wireless Sensor Networks	Proceedings of SPIE - The International Society for Optical Engineering, 13228 (2024)