Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach
Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
As the manufacturing industry advances towards Industry 5.0, which heavily integrates advanced technologies such as cyber-physical systems, artificial intelligence, and the Internet of Things (IoT), the potential for web-based attacks increases. Cybersecurity concerns remain a crucial challenge for Industry 5.0 environments, where cyber-attacks can...
Alternative Titles
Full title
Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_59e2cced98394fe38a90affde5febb05
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_59e2cced98394fe38a90affde5febb05
Other Identifiers
ISSN
2227-7080
E-ISSN
2227-7080
DOI
10.3390/technologies11040107
