Smart City Gnosys

Smart city article details

Title	Anomaly Detection On Iot Data For Smart City
ID_Doc	9632
Authors	Bellini P.; Cenni D.; Nesi P.; Soderi M.
Year	2020
Published	Proceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020
DOI	http://dx.doi.org/10.1109/SMARTCOMP50058.2020.00087
Abstract	Smart Cities are probably on the more complex environment for IOT data collection. IOT data could have different producers, sample rates, periodic and aperiodic, typical trends, structures and stacks, faults, etc. Thus, a strongly flexible and scalable solution is needed to avoid investing huge amount of resources in anomaly detection that has to be done in real time and has to be agnostic to the above-mentioned problems. This paper presents a solution for automatic detection of anomalies. The proposed approach scales seamlessly and integrates in different contexts, featuring different sensor types, protocols, and data formats, and computationally cheap. The research has been developed in the context of Snap4City PCP Select4Cities project and is presently implemented in the Https://www.snap4city.org solution adopted in several cities and regions. © 2020 IEEE.
Author Keywords	anomaly detection; IoT; machine learning; sentient cities; smart cities

Similar Articles

Id	Similarity	Authors	Title	Published
43509	0.916	Hasani Z.; Krrabaj S.; Krasniqi M.	Proposed Model For Real-Time Anomaly Detection In Big Iot Sensor Data For Smart City	International Journal of Interactive Mobile Technologies, 18, 3 (2024)
33619	0.905	Chatterjee A.; Ahmed B.S.	Iot Anomaly Detection Methods And Applications: A Survey	Internet of Things (Netherlands), 19 (2022)
33620	0.895	Villegas-Ch W.; Govea J.; Jaramillo-Alcazar A.	Iot Anomaly Detection To Strengthen Cybersecurity In The Critical Infrastructure Of Smart Cities	Applied Sciences (Switzerland), 13, 19 (2023)
418	0.879	Chugh N.	A Bibliometric Analysis Of Anomaly Detection For Iot-Enabled Smart Cities	Lecture Notes in Electrical Engineering, 915 (2022)
11187	0.873	Khatri V.; Monshizadeh M.; Hojjatinia S.; Kriaa S.; Mahonen P.	Automated Data Correlation For Iot Anomaly Detection With B5G Networks	2024 32nd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2024 (2024)
19918	0.871	Garcia-Font, V; Garrigues, C; Rifà-Pous, H	Difficulties And Challenges Of Anomaly Detection In Smart Cities: A Laboratory Analysis	SENSORS, 18, 10 (2018)
36913	0.87	Girubagari N.; Ravi T.N.	Methods Of Anomaly Detection For The Prevention And Detection Of Cyber Attacks	International Journal of Intelligent Engineering Informatics, 11, 4 (2024)
9635	0.87	Prabowo O.M.; Supangkat S.H.; Mulyana E.	Anomaly Detection Techniques In Smart City: A Review From A Framework Perspective	8th International Conference on ICT for Smart Society: Digital Twin for Smart Society, ICISS 2021 - Proceeding (2021)
17981	0.868	Himdi T.; Ishaque M.	Deep Learning-Enhanced Anomaly Detection For Iot Security In Smart Cities	ARPN Journal of Engineering and Applied Sciences, 19, 6 (2024)
6153	0.865	Alrashdi I.; Alqazzaz A.; Aloufi E.; Alharthi R.; Zohdy M.; Ming H.	Ad-Iot: Anomaly Detection Of Iot Cyberattacks In Smart City Using Machine Learning	2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019 (2019)