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Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder

Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2655164665

Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder

About this item

Full title

Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

Journal title

International journal of advanced computer science & applications, 2019, Vol.10 (8)

Language

English

Formats

Publication information

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

More information

Scope and Contents

Contents

The intrusion detection has become core part of any network of computers due to increasing amount of digital content available. In parallel, the data breaches and malware attacks have also grown in large numbers which makes the role of intrusion detection more essential. Even though many existing techniques are successfully used for detecting intru...

Alternative Titles

Full title

Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2655164665

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2655164665

Other Identifiers

ISSN

2158-107X

E-ISSN

2156-5570

DOI

10.14569/IJACSA.2019.0100822

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