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Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios

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Bibliographic Details
Published in:Journal of the Brazilian Computer Society
Format: Online Article RSS Article
Published: 2026
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container_title Journal of the Brazilian Computer Society
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:10197
institution FRELIP
journal_source_facet Journal of the Brazilian Computer Society
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
title_auth Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
title_full Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
title_fullStr Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
title_full_unstemmed Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
title_short Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios
title_sort enhancing red team agent learning with the kill chain catalyst algorithm in capture the flag scenarios
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://journals-sol.sbc.org.br/index.php/jbcs/article/view/5365