Unsupervised Feature Learning With Distributed Stacked Denoising Sparse Autoencoder for Abnormal Behavior Detection Using Apache Spark

The modern age of internet connectivity and advanced communication technologies has created an ever larger area for cyber attackers to develop, which has resulted in the need for fast and accurate detection of those sophisticated attacks. Abnormal behavior detection is a data analysis task that iden...

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Bibliographic Details

Published in:	2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII) pp. 473 - 476
Main Authors:	Marir, Naila, Wang, Huiqiang, Feng, Guangsheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2019
Subjects:	Accuracy Autoencoders Big Data Big data analytics Cluster computing Deep learning Deep learning and distributed stacked denoising sparse autoencoder Distributed databases Feature extraction Intrusion detection Noise reduction Technological innovation Telecommunication traffic
Online Access:	Get full text
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