Panop: Mimicry-Resistant ANN-Based Distributed NIDS for IoT Networks

Panop: Mimicry-Resistant ANN-Based Distributed NIDS for IoT Networks

Recently, using artificial neural networks (ANNs) for network intrusion detection systems (NIDSs) has drawn much attention from security researchers. The capability of ANNs to learn patterns from numerous data helps detect attacks on networked systems. Moreover, to effectively monitor a newly emergi...

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Bibliographic Details
Main Authors: Hyunjun Kim, Sunwoo Ahn, Whoi Ree Ha, Hyunjae Kang, Dong Seong Kim, Huy Kang Kim, Yunheung Paek
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomaly detection
deep learning
Internet of Things
intrusion detection
machine learning
artificial neural networks
Online Access:https://ieeexplore.ieee.org/document/9508433/

Internet

https://ieeexplore.ieee.org/document/9508433/

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