Smart City Gnosys

Smart city article details

Title	A Survey Of Machine And Deep Learning Methods For Privacy Protection In The Internet Of Things
ID_Doc	5172
Authors	Rodríguez E.; Otero B.; Canal R.
Year	2023
Published	Sensors, 23, 3
DOI	http://dx.doi.org/10.3390/s23031252
Abstract	Recent advances in hardware and information technology have accelerated the proliferation of smart and interconnected devices facilitating the rapid development of the Internet of Things (IoT). IoT applications and services are widely adopted in environments such as smart cities, smart industry, autonomous vehicles, and eHealth. As such, IoT devices are ubiquitously connected, transferring sensitive and personal data without requiring human interaction. Consequently, it is crucial to preserve data privacy. This paper presents a comprehensive survey of recent Machine Learning (ML)- and Deep Learning (DL)-based solutions for privacy in IoT. First, we present an in depth analysis of current privacy threats and attacks. Then, for each ML architecture proposed, we present the implementations, details, and the published results. Finally, we identify the most effective solutions for the different threats and attacks. © 2023 by the authors.
Author Keywords	cybersecurity; deep learning; IoT networks; machine learning; privacy

Similar Articles

Id	Similarity	Authors	Title	Published
47748	0.929	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)
3778	0.915	Psychoula I.; Chen L.; Yao X.; Ning H.	A Privacy Aware Architecture For Iot Enabled Systems	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (2019)
36064	0.914	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)
32899	0.902	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)
9199	0.899	Mazhar T.; Talpur D.B.; Shloul T.A.; Ghadi Y.Y.; Haq I.; Ullah I.; Ouahada K.; Hamam H.	Analysis Of Iot Security Challenges And Its Solutions Using Artificial Intelligence	Brain Sciences, 13, 4 (2023)
33508	0.895	Saini K.S.; Chaudhary S.	Investigation On Attack Detection In Iot Networks: A Study And Analysis Of The Existing Machine Learning And Deep Learning Techniques	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025 (2025)
23845	0.894	Mishra K.; Dutta T.	Enhancing Iot Security Through Deep Learning: A Comprehensive Study	Lecture Notes in Electrical Engineering, 1194 (2024)
1448	0.892	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)
4273	0.891	Qureshi A.; Qureshi M.A.; Haider H.A.; Khawaja R.	A Review On Machine Learning Techniques For Secure Iot Networks	Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020 (2020)
34139	0.886	Selvam R.; Velliangiri S.	Iotsdl: Internet Of Things Security For Deep Learning Techniques-A Research Perspectives	2023 International Conference on Computer Communication and Informatics, ICCCI 2023 (2023)