Smart City Gnosys

Smart city article details

Title	A Survey Of Internet Of Things And Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, And Future Directions
ID_Doc	5164
Authors	Chui K.T.; Gupta B.B.; Liu J.; Arya V.; Nedjah N.; Almomani A.; Chaurasia P.
Year	2023
Published	Information (Switzerland), 14, 7
DOI	http://dx.doi.org/10.3390/info14070388
Abstract	The smart city vision has driven the rapid development and advancement of interconnected technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this paper, various aspects of IoT and CPS in recent years (from 2013 to May 2023) are surveyed. It first begins with industry standards which ensure cost-effective solutions and interoperability. With ever-growing big data, tremendous undiscovered knowledge can be mined to be transformed into useful applications. Machine learning algorithms are taking the lead to achieve various target applications with formulations such as classification, clustering, regression, prediction, and anomaly detection. Notably, attention has shifted from traditional machine learning algorithms to advanced algorithms, including deep learning, transfer learning, and data generation algorithms, to provide more accurate models. In recent years, there has been an increasing need for advanced security techniques and defense strategies to detect and prevent the IoT and CPS from being attacked. Research challenges and future directions are summarized. We hope that more researchers can conduct more studies on the IoT and on CPS. © 2023 by the authors.
Author Keywords	big data; cyber-physical systems; cybersecurity; data generation; deep learning; internet of things; machine learning; smart city; transfer learning

Similar Articles

Id	Similarity	Authors	Title	Published
1448	0.913	Muniswamy A.; Rathi R.	A Detailed Review On Enhancing The Security In Internet Of Things-Based Smart City Environment Using Machine Learning Algorithms	IEEE Access, 12 (2024)
35882	0.911	Nayak J.; Suresh Kumar P.; Reddy D.K.K.; Naik B.; Pelusi D.	Machine Learning And Big Data In Cyber-Physical System: Methods, Applications And Challenges	Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach (2021)
35990	0.906	Chen Z.; Tian P.; Qian C.; Liao W.; Hussaini A.; Yu W.	Machine Learning Frameworks In Iot Systems: A Survey, Case Study, And Future Research Directions	Smart Spaces: a volume in Intelligent Data-Centric Systems (2024)
32899	0.905	Sarker I.H.; Khan A.I.; Abushark Y.B.; Alsolami F.	Internet Of Things (Iot) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions And Research Directions	Mobile Networks and Applications, 28, 1 (2023)
55462	0.904	Abdulla H.; Al-Raweshidy H.; Awad W.	The Era Of Internet Of Things: Towards Better Security Using Machine Learning	2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023 (2023)
36064	0.902	Alfahaid A.; Alalwany E.; Almars A.M.; Alharbi F.; Atlam E.; Mahgoub I.	Machine Learning-Based Security Solutions For Iot Networks: A Comprehensive Survey	Sensors, 25, 11 (2025)
47748	0.901	Ghaffari A.; Jelodari N.; pouralish S.; derakhshanfard N.; Arasteh B.	Securing Internet Of Things Using Machine And Deep Learning Methods: A Survey	Cluster Computing, 27, 7 (2024)
1143	0.898	Samonte M.J.C.; Panganiban K.D.H.; Laqueo L.M.D.; Lazaro J.R.M.; Ogaya L.A.T.	A Critical Analysis On Cybersecurity Of Intemet-Of-Things In System Integration And Architecture Of Smart Cities	2024 8th International Conference on Smart Grid and Smart Cities, ICSGSC 2024 (2024)
47592	0.898	Ghosh U.; Mhlanga F.; Rawat D.B.	Secure And Smart Cyber-Physical Systems	Secure and Smart Cyber-Physical Systems (2024)
36075	0.897	Bzai J.; Alam F.; Dhafer A.; Bojović M.; Altowaijri S.M.; Niazi I.K.; Mehmood R.	Machine Learning-Enabled Internet Of Things (Iot): Data, Applications, And Industry Perspective	Electronics (Switzerland), 11, 17 (2022)