Argumentation-based query answering under uncertainty with application to cybersecurity
- Autores
- Leiva, Mario Alejandro; García, Alejandro Javier; Shakarian, Paulo; Simari, Gerardo
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Decision support tools are key components of intelligent sociotechnical systems, and their successful implementation faces a variety of challenges, including the multiplicity of information sources, heterogeneous format, and constant changes. Handling such challenges requires the ability to analyze and process inconsistent and incomplete information with varying degrees of associated uncertainty. Moreover, some domains require the system’s outputs to be explainable and interpretable; an example of this is cyberthreat analysis (CTA) in cybersecurity domains. In this paper, we first present the P-DAQAP system, an extension of a recently developed query-answering platform based on defeasible logic programming (DeLP) that incorporates a probabilistic model and focuses on delivering these capabilities. After discussing the details of its design and implementation, and describing how it can be applied in a CTA use case, we report on the results of an empirical evaluation designed to explore the effectiveness and efficiency of a possible world sampling-based approximate query answering approach that addresses the intractability of exact computations.
Fil: Leiva, Mario Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Fil: García, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Fil: Shakarian, Paulo. Arizona State University; Estados Unidos
Fil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina - Materia
-
CYBERSECURITY
HUMAN-IN-THE-LOOP COMPUTING
INTELLIGENT SOCIOTECHNICAL SYSTEMS
STRUCTURED PROBABILISTIC ARGUMENTATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/205128
Ver los metadatos del registro completo
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spelling |
Argumentation-based query answering under uncertainty with application to cybersecurityLeiva, Mario AlejandroGarcía, Alejandro JavierShakarian, PauloSimari, GerardoCYBERSECURITYHUMAN-IN-THE-LOOP COMPUTINGINTELLIGENT SOCIOTECHNICAL SYSTEMSSTRUCTURED PROBABILISTIC ARGUMENTATIONhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Decision support tools are key components of intelligent sociotechnical systems, and their successful implementation faces a variety of challenges, including the multiplicity of information sources, heterogeneous format, and constant changes. Handling such challenges requires the ability to analyze and process inconsistent and incomplete information with varying degrees of associated uncertainty. Moreover, some domains require the system’s outputs to be explainable and interpretable; an example of this is cyberthreat analysis (CTA) in cybersecurity domains. In this paper, we first present the P-DAQAP system, an extension of a recently developed query-answering platform based on defeasible logic programming (DeLP) that incorporates a probabilistic model and focuses on delivering these capabilities. After discussing the details of its design and implementation, and describing how it can be applied in a CTA use case, we report on the results of an empirical evaluation designed to explore the effectiveness and efficiency of a possible world sampling-based approximate query answering approach that addresses the intractability of exact computations.Fil: Leiva, Mario Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: García, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Shakarian, Paulo. Arizona State University; Estados UnidosFil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaMultidisciplinary Digital Publishing Institute2022-08-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/205128Leiva, Mario Alejandro; García, Alejandro Javier; Shakarian, Paulo; Simari, Gerardo; Argumentation-based query answering under uncertainty with application to cybersecurity; Multidisciplinary Digital Publishing Institute; Big Data and Cognitive Computing; 6; 3; 26-8-2022; 1-172504-2289CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2504-2289/6/3/91info:eu-repo/semantics/altIdentifier/doi/10.3390/bdcc6030091info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:54Zoai:ri.conicet.gov.ar:11336/205128instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:58:54.772CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Argumentation-based query answering under uncertainty with application to cybersecurity |
title |
Argumentation-based query answering under uncertainty with application to cybersecurity |
spellingShingle |
Argumentation-based query answering under uncertainty with application to cybersecurity Leiva, Mario Alejandro CYBERSECURITY HUMAN-IN-THE-LOOP COMPUTING INTELLIGENT SOCIOTECHNICAL SYSTEMS STRUCTURED PROBABILISTIC ARGUMENTATION |
title_short |
Argumentation-based query answering under uncertainty with application to cybersecurity |
title_full |
Argumentation-based query answering under uncertainty with application to cybersecurity |
title_fullStr |
Argumentation-based query answering under uncertainty with application to cybersecurity |
title_full_unstemmed |
Argumentation-based query answering under uncertainty with application to cybersecurity |
title_sort |
Argumentation-based query answering under uncertainty with application to cybersecurity |
dc.creator.none.fl_str_mv |
Leiva, Mario Alejandro García, Alejandro Javier Shakarian, Paulo Simari, Gerardo |
author |
Leiva, Mario Alejandro |
author_facet |
Leiva, Mario Alejandro García, Alejandro Javier Shakarian, Paulo Simari, Gerardo |
author_role |
author |
author2 |
García, Alejandro Javier Shakarian, Paulo Simari, Gerardo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
CYBERSECURITY HUMAN-IN-THE-LOOP COMPUTING INTELLIGENT SOCIOTECHNICAL SYSTEMS STRUCTURED PROBABILISTIC ARGUMENTATION |
topic |
CYBERSECURITY HUMAN-IN-THE-LOOP COMPUTING INTELLIGENT SOCIOTECHNICAL SYSTEMS STRUCTURED PROBABILISTIC ARGUMENTATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Decision support tools are key components of intelligent sociotechnical systems, and their successful implementation faces a variety of challenges, including the multiplicity of information sources, heterogeneous format, and constant changes. Handling such challenges requires the ability to analyze and process inconsistent and incomplete information with varying degrees of associated uncertainty. Moreover, some domains require the system’s outputs to be explainable and interpretable; an example of this is cyberthreat analysis (CTA) in cybersecurity domains. In this paper, we first present the P-DAQAP system, an extension of a recently developed query-answering platform based on defeasible logic programming (DeLP) that incorporates a probabilistic model and focuses on delivering these capabilities. After discussing the details of its design and implementation, and describing how it can be applied in a CTA use case, we report on the results of an empirical evaluation designed to explore the effectiveness and efficiency of a possible world sampling-based approximate query answering approach that addresses the intractability of exact computations. Fil: Leiva, Mario Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina Fil: García, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina Fil: Shakarian, Paulo. Arizona State University; Estados Unidos Fil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina |
description |
Decision support tools are key components of intelligent sociotechnical systems, and their successful implementation faces a variety of challenges, including the multiplicity of information sources, heterogeneous format, and constant changes. Handling such challenges requires the ability to analyze and process inconsistent and incomplete information with varying degrees of associated uncertainty. Moreover, some domains require the system’s outputs to be explainable and interpretable; an example of this is cyberthreat analysis (CTA) in cybersecurity domains. In this paper, we first present the P-DAQAP system, an extension of a recently developed query-answering platform based on defeasible logic programming (DeLP) that incorporates a probabilistic model and focuses on delivering these capabilities. After discussing the details of its design and implementation, and describing how it can be applied in a CTA use case, we report on the results of an empirical evaluation designed to explore the effectiveness and efficiency of a possible world sampling-based approximate query answering approach that addresses the intractability of exact computations. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-26 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/205128 Leiva, Mario Alejandro; García, Alejandro Javier; Shakarian, Paulo; Simari, Gerardo; Argumentation-based query answering under uncertainty with application to cybersecurity; Multidisciplinary Digital Publishing Institute; Big Data and Cognitive Computing; 6; 3; 26-8-2022; 1-17 2504-2289 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/205128 |
identifier_str_mv |
Leiva, Mario Alejandro; García, Alejandro Javier; Shakarian, Paulo; Simari, Gerardo; Argumentation-based query answering under uncertainty with application to cybersecurity; Multidisciplinary Digital Publishing Institute; Big Data and Cognitive Computing; 6; 3; 26-8-2022; 1-17 2504-2289 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2504-2289/6/3/91 info:eu-repo/semantics/altIdentifier/doi/10.3390/bdcc6030091 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269549428211712 |
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13.13397 |