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Tackling cyberattacks through AI-based reactive systems: a holistic review and future vision

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dc.contributor.authorNespoli, Pantaleone
dc.contributor.authorBernardez Molina, Sergio
dc.contributor.authorBeltrán-López, Pedro
dc.contributor.authorGómez Mármol, Félix
dc.contributor.departmentIngeniería de la Información y las Comunicaciones
dc.date.accessioned2026-01-15T12:51:11Z
dc.date.available2026-01-15T12:51:11Z
dc.date.copyright© 2025 The Authors
dc.date.issued2025-06-25
dc.description.abstractThere is no denying that the use of Information Technology (IT) is undergoing exponential growth in today’s world. This digital transformation has also given rise to a multitude of security challenges, notably in the realm of cybercrime. In response to these growing threats, public and private sectors have prioritized the strengthening of IT security measures. In light of the growing security concern, Artificial Intelligence (AI) has gained prominence within the cybersecurity landscape. This paper presents a comprehensive survey of recent advancements in AI-driven threat response systems. To the best of our knowledge, the most recent survey covering the AI reaction domain was conducted in 2017. Since then, considerable literature has been published, and therefore, it is worth reviewing it. In this comprehensive survey of the state of the art reaction systems, five key features with multiple values have been identified, facilitating a homogeneous comparison between the different works. In addition, through a meticulous methodology of article collection, the 22 most relevant publications in the field have been selected. Then each of these publications has been subjected to a detailed analysis using the features identified, which has allowed for the generation of a comprehensive overview revealing significant relationships between the papers. These relationships are further elaborated in the paper, along with the identification of potential gaps in the literature, which may guide future contributions. A total of seven research challenges have been identified, pointing out these potential gaps and suggesting possible areas of development through concrete proposals.
dc.formatapplication/pdf
dc.format.extent40
dc.identifier.citationEEE Communications Surveys & Tutorials, vol. 28, pp. 1557-1596, 2026
dc.identifier.doihttps://doi.org/10.1109/COMST.2025.3583868
dc.identifier.eissn1553-877X
dc.identifier.urihttp://hdl.handle.net/10201/187230
dc.languageeng
dc.publisherIEEE Xplore
dc.relationThis work was supported in part by the Strategic Project CDL-TALENTUM from the Spanish National Institute of Cybersecurity (INCIBE), and in part by the Recovery, Transformation and Resilience Plan, Next Generation EU, from the Postdoctoral Grant Margarita Salas under Grant 172/MSJD/22.
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/11053975
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectArtificial intelligence
dc.subjectCybersecurity
dc.subjectReaction
dc.subjectCountermeasure
dc.subjectSurvey
dc.subject.odsObjetivo 8: Crecimiento económico
dc.titleTackling cyberattacks through AI-based reactive systems: a holistic review and future vision
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersión
dspace.entity.typePublicationes
relation.isAuthorOfPublicationa4aea437-6508-42bb-8b7c-fb093766aaea
relation.isAuthorOfPublication292dbca2-1c50-400f-8f45-039196d20a73
relation.isAuthorOfPublication.latestForDiscoverya4aea437-6508-42bb-8b7c-fb093766aaea
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