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Cognitive Lightweight Logistic Regression-Based IDS for IoT-Enabled FANET to Detect Cyberattacks

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Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1080/15501320600692044openalex-snapshot
Intrusion Detection for Routing Attacks in Sensor Networks
inferredcites →https://doi.org/10.1080/19393555.2015.1125974openalex-snapshot
The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set
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UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
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inferredcites →https://doi.org/10.17849/insm-47-01-31-39.1openalex-snapshot
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inferredcites →https://doi.org/10.3390/electronics10212633openalex-snapshot
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inferredcites →https://doi.org/10.3390/electronics11132049openalex-snapshot
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inferredcites →https://doi.org/10.3390/electronics9010173openalex-snapshot
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inferredcites →https://doi.org/10.3390/electronics9091411openalex-snapshot
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inferredcites →https://doi.org/10.3390/fi13050111openalex-snapshot
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inferredcites →https://doi.org/10.3390/s19091977openalex-snapshot
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inferredcites →https://doi.org/10.3390/s20020461openalex-snapshot
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inferredcites →https://doi.org/10.3390/s21217016openalex-snapshot
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inferredcites →https://doi.org/10.38094/jastt20165openalex-snapshot
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inferredcites →https://doi.org/10.5120/20758-3163openalex-snapshot
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inferredcites →https://doi.org/10.5120/9985-4822openalex-snapshot
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Machine Learning and Precision Medicine in Emergency Medicine: The Basics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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