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A hybrid DNN–LSTM model for detecting phishing URLs

A hybrid DNN–LSTM model for detecting phishing URLs

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8349600

A hybrid DNN–LSTM model for detecting phishing URLs

About this item

Full title

A hybrid DNN–LSTM model for detecting phishing URLs

Publisher

London: Springer London

Journal title

Neural computing & applications, 2023-03, Vol.35 (7), p.4957-4973

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users’ important information such as personal identification, social security number, password, e-mail, credit card, and other account informa...

Alternative Titles

Full title

A hybrid DNN–LSTM model for detecting phishing URLs

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8349600

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8349600

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-021-06401-z

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