Anomaly detection in IOT edge computing using deep learning and instance-level horizontal reduction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05771-6.pdf
Reference92 articles.
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2. Bhunia SS, Gurusamy M (v) Dynamic attack detection and mitigation in IoT using SDN. In: 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), pp 1–6. https://doi.org/10.1109/ATNAC.2017.8215418.
3. Aldweesh A, Derhab A, Emam AZ (2020) Deep learning approaches for anomaly-based intrusion detection systems: a survey, taxonomy, and open issues. Knowl-Based Syst 189:1–37
4. Al-Hadhrami Y, Hussain FK (2020) Real time dataset generation framework for intrusion detection systems in IoT. Futur Gener Comput Syst 108:414–423
5. Garcia-Teodoro P, Diaz-Verdejo J, Maciá-Fernández G, Vázquez E (2009) Anomaly-based network intrusion detection: Techniques, systems and challenges. Comput Security 28(1–2):18–28
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