A machine learning based intrusions detection for IoT botnet attacks
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0149102
Reference24 articles.
1. Zarpelão B, Miani R, Kawakani CT, Alvarenga SC. A survey of intrusion detection in Internet of Things. J Netw Comput Appl. 2017;
2. Internet of things: Energy Consumption and Data Storage
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4. On data-driven curation, learning, and analysis for inferring evolving internet-of-Things (IoT) botnets in the wild
5. Reduce the Energy Consumption of IOTs in the Medical Field
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3. A Fog-Based Attack Detection Model Using Deep Learning for the Internet of Medical Things;Lecture Notes in Networks and Systems;2024
4. ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks;Sensors;2023-09-23
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