Packet Length Spectral Analysis for IoT Flow Classification Using Ensemble Learning

Packet Length Spectral Analysis for IoT Flow Classification Using Ensemble Learning

With the proliferation of ubiquitous and autonomous devices for sensing, control, monitoring and conditioning, the Internet of Things (IoT) holds a great potential for the development of innovative applications. At the same time, network operators must support these devices with differentiated servi...

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Bibliographic Details
Main Authors: Gennaro Cirillo, Roberto Passerone
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Ensemble learning
FFT
IoT
random forest
spectral analysis
traffic classification
Online Access:https://ieeexplore.ieee.org/document/9149907/

Internet

https://ieeexplore.ieee.org/document/9149907/

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