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A Multi-Criteria Analysis of Benchmark Results With Expert Support for Security Tools

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A Multi-Criteria Analysis of Benchmark Results With Expert Support for Security Tools

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dc.contributor.author Martínez, Miquel es_ES
dc.contributor.author Ruiz, Juan Carlos es_ES
dc.contributor.author Antunes, Nuno es_ES
dc.contributor.author de-Andrés-Martínez, David es_ES
dc.contributor.author Vieira, Marco es_ES
dc.date.accessioned 2023-11-29T19:01:49Z
dc.date.available 2023-11-29T19:01:49Z
dc.date.issued 2022-08 es_ES
dc.identifier.issn 1545-5971 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200353
dc.description.abstract [EN] The benchmarking of security tools is endeavored to determine which tools are more suitable to detect system vulnerabilities or intrusions. The analysis process is usually oversimplified by employing just a single metric out of the large set of those available. Accordingly, the decision may be biased by not considering relevant information provided by neglected metrics. This article proposes a novel approach to take into account several metrics, different scenarios, and the advice of multiple experts. The proposal relies on experts quantifying the relative importance of each pair of metrics towards the requirements of a given scenario. Their judgments are aggregated using group decision making techniques, and pondered according to the familiarity of experts with the metrics and scenario, to compute a set of weights accounting for the relative importance of each metric. Then, weight-based multi-criteria-decision-making techniques can be used to rank the benchmarked tools. The usefulness of this approach is showed by analyzing two different sets of vulnerability and intrusion detection tools from the perspective of multiple/single metrics and different scenarios. es_ES
dc.description.sponsorship This work was supported in part by the project METRICS (POCI-01-0145-FEDER-032504), co-funded by the Portuguese Foundation for Science and Technology (FCT), and by the Fundo Europeu de Desenvolvimento Regional (FEDER) through Portugal 2020 -POCI, the "Programa de Ayudas de Investigacion y Desarrollo" (PAID) de la Universitat Politecnica de Valencia and the project DINAMOS (dinamos.webs.upv. es), funded by the Ministerio de Economia, Industria y Competitividad de Espana, under Grant TIN2016-81075-R. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Transactions on Dependable and Secure Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Benchmark analysis es_ES
dc.subject Security tools es_ES
dc.subject Multiple-criteria decision making es_ES
dc.subject Decision support es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title A Multi-Criteria Analysis of Benchmark Results With Expert Support for Security Tools es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TDSC.2020.3048202 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//TIN2016-81075-R//MECANISMOS DE ADAPTACION CONFIABLE PARA VEHICULOS AUTONOMOS Y CONECTADOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FCT//POCI-01-0145-FEDER-032504/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Martínez, M.; Ruiz, JC.; Antunes, N.; De-Andrés-Martínez, D.; Vieira, M. (2022). A Multi-Criteria Analysis of Benchmark Results With Expert Support for Security Tools. IEEE Transactions on Dependable and Secure Computing. 19(4):2151-2164. https://doi.org/10.1109/TDSC.2020.3048202 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TDSC.2020.3048202 es_ES
dc.description.upvformatpinicio 2151 es_ES
dc.description.upvformatpfin 2164 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\469041 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Fundação para a Ciência e a Tecnologia, Portugal es_ES


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