Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in...
Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in network intrusion detection systems
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Publisher
United States: PeerJ. Ltd
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Language
English
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Publisher
United States: PeerJ. Ltd
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Contents
In the context of the 5G network, the proliferation of access devices results in heightened network traffic and shifts in traffic patterns, and network intrusion detection faces greater challenges. A feature selection algorithm is proposed for network intrusion detection systems that uses an improved binary pigeon-inspired optimizer (SABPIO) algori...
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Full title
Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in network intrusion detection systems
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TN_cdi_doaj_primary_oai_doaj_org_article_a4f44cc9e9a4498292eac129f5fe388e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4f44cc9e9a4498292eac129f5fe388e
Other Identifiers
ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.2176
