Smart City Gnosys

Smart city article details

Title	Data Security Model Using Deep Learning And Edge Computing For Internet Of Things (Iot) In Smart City
ID_Doc	17350
Authors	Tahsin M.S.; Aziz M.Y.; Kabbo T.A.; Tahsin T.; Zumme N.H.; Hossain M.I.
Year	2021
Published	Proceedings - 2021 19th OITS International Conference on Information Technology, OCIT 2021
DOI	http://dx.doi.org/10.1109/OCIT53463.2021.00081
Abstract	In the current ongoing world of IoT (Internet of things) devices, it is vital to have a safe, secure and reliable cyberspace. Cyberspace or network is free from all sorts of unethical activities like hacked systems, data breaches and stolen data. For that goal to be accomplished, we need to have a modern, solid and rigid cybersecurity system to stay safe from harm's way. Our research includes recent IoT data security issues and a robust security model that ensures the IoT devices' data security based on a smart city's perspective. According to the recent research data on the vulnerable IoT devices we propose an intelligent and effective security approach to tackle the modern IoT security issues because our data needs to be protected as the IoT devices or 'things' as we call it needs to have proper security. A few areas of future research indicate the use of blockchain to resolve the cybersecurity issues of IoT devices are the most promising and exciting. © 2021 IEEE.
Author Keywords	CNN; EDGE Computer; IoT; LSTM; Malware; Smart city

Similar Articles

Id	Similarity	Authors	Title	Published
33596	0.904	Al-Farhani L.H.; Alqahtani Y.; Alshehri H.A.; Martin R.J.; Lalar S.; Jain R.	Iot And Blockchain-Based Cloud Model For Secure Data Transmission For Smart City	Security and Communication Networks, 2023 (2023)
47807	0.883	Shankar A.; Maple C.	Securing The Internet Of Things-Enabled Smart City Infrastructure Using A Hybrid Framework	Computer Communications, 205 (2023)
47748	0.883	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)
38245	0.88	Benjamine D.A.; Madhavan K.; Pavithra S.	Multi-Layered Approach To Iot Cybersecurity In Smart Cities	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025 (2025)
915	0.877	Kotian A.L.; Abhishek B.; Allapur A.R.; Gowda A.; Gowda A.	A Comprehensive Review Of Different Frameworks For Ensuring Data Privacy And Security For Iot Networks In Smart City	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025 (2025)
40256	0.877	Soni T.; Kaur R.; Gupta D.; Sharma A.; Gupta G.	Opportunities And Challenges Of Data-Driven Cybersecurity For Smart Cities: Blockchain-Driven Approach	Sustainable Mobility: Policies, Challenges and Advancements (2024)
958	0.875	Bhargava A.; Salunkhe G.; Bhargava S.; Goswami P.	A Comprehensive Study Of Iot Security Risks In Building A Secure Smart City	Digital Cities Roadmap: IoT-Based Architecture and Sustainable Buildings (2021)
47185	0.875	Mirge A.S.; Dharmale G.	Safe And Reliable Smart City Design Based On Blockchain Technology	Digital Twin and Blockchain for Smart Cities (2025)
34139	0.874	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)
17023	0.874	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)