TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest

TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest

As we head towards the IoT (Internet of Things) era, protecting network infrastructures and information security has become increasingly crucial. In recent years, Anomaly-Based Network Intrusion Detection Systems (ANIDSs) have gained extensive attention for their capability of detecting novel attack...

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Bibliographic Details
Main Authors:	Erxue Min, Jun Long, Qiang Liu, Jianjing Cui, Wei Chen
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2018-01-01
Series:	Security and Communication Networks
Online Access:	http://dx.doi.org/10.1155/2018/4943509

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