<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Analysis of the Capability and Training of Chat Bots in the Generation of Rules for Firewall or Intrusion Detection Systems</dcterms:title><dcterms:identifier>https://doi.org/10.57979/SNUPIK</dcterms:identifier><dcterms:creator>Bernardo Louro</dcterms:creator><dcterms:publisher>POLEN DataHub</dcterms:publisher><dcterms:issued>2026-04-01</dcterms:issued><dcterms:modified>2026-04-01T10:45:51Z</dcterms:modified><dcterms:description>This dataset allows for the replication the study found in the paper "Analysis of the Capability and Training of Chat Bots in the Generation of Rules for Firewall or Intrusion Detection Systems".</dcterms:description><dcterms:subject>Exact Sciences - Computer and Information Sciences</dcterms:subject><dcterms:IsSupplementTo>Bernardo Louro, Raquel Abreu, Joana C. Costa, João B. F. Sequeiros, and Pedro R. M. Inácio. 2024. Analysis of the Capability and Training of Chat Bots in the Generation of Rules for Firewall or Intrusion Detection Systems. In The 19th International Conference on Availability, Reliability and Security (ARES 2024), July 30-August 2, 2024, Vienna, Austria. ACM, New York, NY, USA, 7 pages., doi, 10.1145/3664476.3670902, https://doi.org/10.1145/3664476.3670902</dcterms:IsSupplementTo><dcterms:date>2024-08-02</dcterms:date><dcterms:contributor>Bernardo Louro</dcterms:contributor><dcterms:dateSubmitted>2026-03-31</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>