Smart City Gnosys

Smart city article details

Title	Securing Critical Iot Infrastructures With Blockchain-Supported Federated Learning
ID_Doc	47728
Authors	Otoum S.; Ridhawi I.A.; Mouftah H.
Year	2022
Published	IEEE Internet of Things Journal, 9, 4
DOI	http://dx.doi.org/10.1109/JIOT.2021.3088056
Abstract	Network trustworthiness is considered a very crucial element in network security and is developed through positive experiences, guarantees, clarity, and responsibility. Trustworthiness becomes even more compelling with the ever-expanding set of Internet of Things (IoT) smart city services and applications. Most of today's network trustworthy solutions are considered inadequate, notably for critical applications where IoT devices may be exposed and easily compromised. In this article, we propose an adaptive framework that integrates both federated learning and blockchain to achieve both network trustworthiness and security. The solution is capable of dealing with individuals' trust as a probability and estimates the end devices' trust values belonging to different networks subject to achieving security criteria. We evaluate and verify the proposed model through simulation to showcase the effectiveness of the framework in terms of network lifetime, energy consumption, and trust using multiple factors. Results show that the proposed model maintains high accuracy and detection rates with values of \approx 0.93 and \approx 0.96 , respectively. © 2014 IEEE.
Author Keywords	Adaptive solution; blockchain; critical infrastructures; federated learning (FL); reinforcement learning (RL); trustworthy

Similar Articles

Id	Similarity	Authors	Title	Published
5652	0.933	Wang S.; Chen C.; Han B.; Zhu J.	A Trusted And Decentralized Federated Learning Framework For Iot Devices In Smart City	Proceedings - IEEE Congress on Cybermatics: 2024 IEEE International Conferences on Internet of Things, iThings 2024, IEEE Green Computing and Communications, GreenCom 2024, IEEE Cyber, Physical and Social Computing, CPSCom 2024, IEEE Smart Data, SmartData 2024 (2024)
485	0.917	Ali R.; Qadri Y.A.; Zikria Y.B.; Al-Turjman F.; Kim B.-S.; Kim S.W.	A Blockchain Model For Trustworthiness In The Internet Of Things (Iot)-Based Smart-Cities	EAI/Springer Innovations in Communication and Computing (2020)
17023	0.903	Sefati S.S.; Craciunescu R.; Arasteh B.; Halunga S.; Fratu O.; Tal I.	Cybersecurity In A Scalable Smart City Framework Using Blockchain And Federated Learning For Internet Of Things (Iot)	Smart Cities, 7, 5 (2024)
17680	0.9	Islam R.; Bose R.; Roy S.; Khan A.A.; Sutradhar S.; Das S.; Ali F.; AlZubi A.A.	Decentralized Trust Framework For Smart Cities: A Blockchain-Enabled Cybersecurity And Data Integrity Model	Scientific Reports, 15, 1 (2025)
3195	0.899	Hai T.; Wang D.; Seetharaman T.; Amelesh M.; Sreejith P.M.; Sharma V.; Ibeke E.; Liu H.	A Novel & Innovative Blockchain-Empowered Federated Learning Approach For Secure Data Sharing In Smart City Applications	Lecture Notes in Networks and Systems, 735 LNNS (2023)
3807	0.89	Geng T.; Liu J.; Huang C.-T.	A Privacy-Preserving Federated Learning Framework For Iot Environment Based On Secure Multi-Party Computation	Proceedings - 2024 IEEE Annual Congress on Artificial Intelligence of Things, AIoT 2024 (2024)
47807	0.887	Shankar A.; Maple C.	Securing The Internet Of Things-Enabled Smart City Infrastructure Using A Hybrid Framework	Computer Communications, 205 (2023)
59106	0.887	Wang X.; Zhang C.; Chang X.	Trusted Management Infrastructure With Blockchain For Edge Device In Smart City	5th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2022 (2022)
42086	0.886	Thomas T.; Kizhakethottam J.J.; Abraham N.E.	Pioneering Efficient Blockchain In Iot: A Review Of Tailored Protocols For Modern Devices	RASSE 2023 - IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings (2023)
18089	0.884	Ullah F.; Salam A.; Amin F.; Khan I.A.; Ahmed J.; Zaib S.A.; Choi G.S.	Deep Trust: A Novel Framework For Dynamic Trust And Reputation Management In The Internet Of Things (Iot)-Based Networks	IEEE Access, 12 (2024)