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Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering

Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2615860908

Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering

About this item

Full title

Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering

Publisher

London: Hindawi

Journal title

Security and communication networks, 2021-12, Vol.2021, p.1-12

Language

English

Formats

Publication information

Publisher

London: Hindawi

More information

Scope and Contents

Contents

Digital systems are changing to security systems in contemporary days. It is time for the digital system to have sufficient security to defend against threats and attacks. The intrusion detection system can identify an anomaly from an external or internal source in the network system. Many kinds of threats are present, that is, active and passive....

Alternative Titles

Full title

Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2615860908

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2615860908

Other Identifiers

ISSN

1939-0114

E-ISSN

1939-0122

DOI

10.1155/2021/6129210

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