ConLBS: An Attack Investigation Approach Using Contrastive Learning with Behavior Sequence
ConLBS: An Attack Investigation Approach Using Contrastive Learning with Behavior Sequence
About this item
Full title
Author / Creator
Li, Jiawei , Zhang, Ru and Liu, Jianyi
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
Attack investigation is an important research field in forensics analysis. Many existing supervised attack investigation methods rely on well-labeled data for effective training. While the unsupervised approach based on BERT can mitigate the issues, the high degree of similarity between certain real-world attacks and normal behaviors makes it chall...
Alternative Titles
Full title
ConLBS: An Attack Investigation Approach Using Contrastive Learning with Behavior Sequence
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_73b7074a38e74694a377fd87c8109e2f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_73b7074a38e74694a377fd87c8109e2f
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23249881
