Billiard based optimization with deep learning driven anomaly detection in internet of things assisted sustainable smart cities
Author:
Funder
AlMaarefa University
Publisher
Elsevier BV
Subject
General Engineering
Reference23 articles.
1. Detection of anomalous events based on deep learning-BiLSTM;Abbas;Iraqi J. Inform. Commun. Technol.,2022
2. Securing smart cities using artificial intelligence: Intrusion and abnormal behavior detection system;Kaddah,2021
3. Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment;Ng;Futur. Gener. Comput. Syst.,2020
4. Federated deep learning for anomaly detection in the internet of things;Wang;Comput. Electr. Eng.,2023
5. Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities;Reddy;Trans. Emerg. Telecommun. Technol.,2021
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