Zobrazit minimální záznam

dc.contributor.authorTruong, Thanh Cong
dc.contributor.authorDiep, Quoc Bao
dc.contributor.authorZelinka, Ivan
dc.date.accessioned2020-05-19T11:38:07Z
dc.date.available2020-05-19T11:38:07Z
dc.date.issued2020
dc.identifier.citationSymmetry. 2020, vol. 12, issue 3, art. no. 410.cs
dc.identifier.issn2073-8994
dc.identifier.urihttp://hdl.handle.net/10084/139491
dc.description.abstractArtificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis. In the cybersecurity domain, AI-based techniques can provide better cyber defense tools and help adversaries improve methods of attack. However, malicious actors are aware of the new prospects too and will probably attempt to use them for nefarious purposes. This survey paper aims at providing an overview of how artificial intelligence can be used in the context of cybersecurity in both offense and defense.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSymmetrycs
dc.relation.urihttp://doi.org/10.3390/sym12030410cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcybersecuritycs
dc.subjectartificial intelligencecs
dc.subjectmachine learningcs
dc.subjectdeep learningcs
dc.subjectbio-inspired computingcs
dc.subjectsystems securitycs
dc.titleArtificial intelligence in the cyber domain: Offense and defensecs
dc.typearticlecs
dc.identifier.doi10.3390/sym12030410
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume12cs
dc.description.issue3cs
dc.description.firstpageart. no. 410cs
dc.identifier.wos000525824300085


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Zobrazit minimální záznam

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.