On the Fence: Anomaly Detection in IoT Networks
Author:
Affiliation:
1. Dalhousie University,Faculty of Computer Science,Halifax,NS,Canada,B3H 4R2
2. Solana Networks,Ottawa,Canada Canada
Funder
Mitacs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10154252/10154208/10154271.pdf?arnumber=10154271
Reference13 articles.
1. NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems
2. A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
3. Rule Generation for Signature Based Detection Systems of Cyber Attacks in IoT Environments;Soe;Bulletin of Networking, Computing, Systems, and Software,2019
4. Averaged dependence estimators for DoS attack detection in IoT networks
5. Deep Learning-Based Intrusion Detection for IoT Networks
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1. Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers;IEEE Transactions on Quantum Engineering;2024
2. Anomaly Detection for IoT Networks: Empirical Study;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24
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