Machine learning or generative AI? New perspectives in cybersecurity

dc.contributor.authorSilva, Mário Marques da
dc.date.accessioned2026-05-05T11:43:43Z
dc.date.available2026-05-05T11:43:43Z
dc.date.issued2025-09-19en_US
dc.date.updated2025-03-21T15:42:24Z
dc.description.abstractThe proliferation of digital systems in the 4th Industrial Revolution has introduced unprecedented cybersecurity challenges. This paper explores the implementation of Generative AI (GEN AI) in the context of cybersecurity, highlighting their applications in data analysis procedures and automatic control systems. By integrating Machine Learning (ML) for real-time detection and GEN AI for simulating advanced attack scenarios, we can detect cyberattacks at an early stage and minimize the impact on the systems functioning
dc.description.version6F1A-06CB-E82D | Mário Pedro Guerreiro Marques da Silva
dc.description.versioninfo:eu-repo/semantics/submittedVersion
dc.identifier.slugcv-prod-4324814
dc.identifier.urihttps://hdl.handle.net/11144/7860
dc.language.isoeng
dc.rightshttps://purl.org/coar/access_right/c_abf2en_US
dc.subjectCybersecurity and Machine Learning
dc.subjectGenerative AI
dc.subjectHybrid Defense Strategy
dc.subjectAnomaly Detection
dc.subjectSynthetic Data.
dc.titleMachine learning or generative AI? New perspectives in cybersecurity
dc.typeconferenceObjecten_US
oaire.citation.conferencePlaceUniversidade Auónoma de Lisboa
oaire.citation.titleEthicomp 2025en_US

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