Smart City Gnosys

Smart city article details

Title	Cyber Security In Smart Cities: A Review Of Deep Learning-Based Applications And Case Studies
ID_Doc	16941
Authors	Chen, DL; Wawrzynski, P; Lv, ZH
Year	2021
Published	SUSTAINABLE CITIES AND SOCIETY, 66
DOI	http://dx.doi.org/10.1016/j.scs.2020.102655
Abstract	On the one hand, smart cities have brought about various changes, aiming to revolutionize people?s lives. On the other hand, while smart cities bring better life experiences and great convenience to people?s lives, there are more hidden dangers of cyber security, including information leakage and malicious cyber attacks. The current cyber security development cannot keep up with the eager adoption of global smart city technologies so correct design based on deep learning methods is essential to protect smart city cyber. This paper summarizes the knowledge and interpretation of Smart Cities (SC), Cyber Security (CS), and Deep Learning (DL) concepts as well as discussed existing related work on IoT security in smart cities. Specifically, we briefly reviewed several deep learning models, including Boltzmann machines, restricted Boltzmann machines, deep belief networks, recurrent neural networks, convolutional neural networks, and generative adversarial networks. Then we introduced cyber security applications and use cases based on deep learning technology in smart cities. Finally, we describe the future development trend of smart city cyber security.
Author Keywords	Smart cities; Cyber security; Deep learning; A review

Similar Articles

Id	Similarity	Authors	Title	Published
17947	0.934	Bhardwaj T.; Upadhyay H.; Lagos L.	Deep Learning-Based Cyber Security Solutions For Smart-City: Application And Review	Learning and Analytics in Intelligent Systems, 25 (2022)
17818	0.912	Muhammad A.N.; Aseere A.M.; Chiroma H.; Shah H.; Gital A.Y.; Hashem I.A.T.	Deep Learning Application In Smart Cities: Recent Development, Taxonomy, Challenges And Research Prospects	Neural Computing and Applications, 33, 7 (2021)
42695	0.906	Khan W.A.; Saleem K.; Faiz T.; Malik J.A.; Khan M.S.; Sadaf Z.	Predicting Distributed Network Malicious Data Packets In Smart City Using Deep Learning	2022 International Conference on Business Analytics for Technology and Security, ICBATS 2022 (2022)
17887	0.906	Jalil N.A.; Leen M.W.E.; Salleh N.M.; Jafry N.H.A.	Deep Learning For Smart Cities: Innovations, Challenges, And Future Directions	2024 3rd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2024 (2024)
4248	0.906	Bhattacharya S.; Somayaji S.R.K.; Gadekallu T.R.; Alazab M.; Maddikunta P.K.R.	A Review On Deep Learning For Future Smart Cities	Internet Technology Letters, 5, 1 (2022)
8941	0.903	Shekarappa G. S.; Badi M.; Raj S.; Mahapatra S.	An Overview Of Smart City Planning—The Future Technology	Artificial Intelligence and Machine Learning in Smart City Planning (2023)
17979	0.901	Chinnasamy R.; Malliga S.; Sengupta N.	Deep Learning-Driven Intrusion Detection Systems For Smart Cities-A Systematic Study	IET Conference Proceedings, 2022, 26 (2022)
17907	0.901	Liloja; Ranjana P.	Deep Learning Methodology For Detecting Breaches To Improve Security In Smart Cities	2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023 (2023)
55194	0.9	Nazari H.; Alkhader H.; Akhter A.F.M.S.; Hizal S.	The Contribution Of Deep Learning For Future Smart Cities	Advanced Sciences and Technologies for Security Applications (2023)
18081	0.897	Alajlan N.N.; Ibrahim D.M.	Deep Smart Cities: A Review Of Smart Cities Applications-Based An Inference Of Deep Learning Upon Iot Devices	Journal of Advanced Research in Applied Sciences and Engineering Technology, 47, 2 (2025)