Efficient Approach for Anomaly Detection in Internet of Things Traffic Using Deep Learning
Efficient Approach for Anomaly Detection in Internet of Things Traffic Using Deep Learning
About this item
Full title
Author / Creator
Publisher
Oxford: Hindawi
Journal title
Language
English
Formats
Publication information
Publisher
Oxford: Hindawi
Subjects
More information
Scope and Contents
Contents
The network intrusion detection system (NIDs) is a significant research milestone in information security. NIDs can scan and analyze the network to detect an attack or anomaly, which may be a continuing intrusion or perhaps an intrusion that has just occurred. During the pandemic, cybercriminals realized that home networks lurked with vulnerabiliti...
Alternative Titles
Full title
Efficient Approach for Anomaly Detection in Internet of Things Traffic Using Deep Learning
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2715338413
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2715338413
Other Identifiers
ISSN
1530-8669
E-ISSN
1530-8677
DOI
10.1155/2022/8266347
