Hybrid of supervised learning and optimization algorithm for optimal detection of iot distributed denial of service attacks.
The high-speed internet has led to the development of Internet of Things (IoT) with a fundamental Three-Layer IoT architecture. However, small amount of un-indicative data captured at the end level of IoT network makes the edge IoT devices susceptible to cyber-security attacks aimed at its transport...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/108389/1/TalhaFarid2023_HybridofSupervisedLearningandOptimization.pdf |