Show simple item record

dc.contributor.authorGaeta, Angelo
dc.date.accessioned2023-02-22T13:10:46Z
dc.date.available2023-02-22T13:10:46Z
dc.date.issued2021-05-10
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/6421
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-4493
dc.description2018 - 2019it_IT
dc.description.abstractCurrent threats, such as terrorism and cyber-terrorism, pose new challenges to security and defence communities, and the ability to reason with different perspectives and detecting connections between facts, relationships and events becomes crucial to address these challenges. To this purpose, a less procedural and standardized approach is useful, able to leverage current computational and artificial intelligence technologies to detect threats and protect physical and cyber-physical systems. This raises a strong interest in defining and adopting new methods and techniques that, to a certain extent, are such as to replicate, or at least to support, human cognitive processes. If we consider the "creativity" behind some recent attacks, such as that one of 09/11/2001, we can understand the need to rethink security in situational rather than procedural terms, and this has an important implication that helps to frame the problem and research objectives of this thesis. This implication is a shift from being aware of what we need to prevent (and the related rules and procedures to that end) to gaining greater awareness of what might happen. From this consideration, it emerges the need of methods and tools that support decision makers in their ability to carry out analyses that allow to hypothesize different threat scenarios, and to reason about their evolutions. This is, essentially, the main objective of the so-called intelligence activities. The research problem investigated in the Ph.D period is how to improve the awareness of analysts and decision makers in the early stages of an intelligence analysis to prevent intentional attacks, and the specific objectives concern the definition and validation of reasoning methods based on Granular Computing (GrC) for this purpose. ... [edited by Author]it_IT
dc.language.isoenit_IT
dc.publisherUniversita degli studi di Salernoit_IT
dc.subjectGrcit_IT
dc.subjectIntelligence analysisit_IT
dc.subjectApproximate reasoningit_IT
dc.titleSupporting the intelligence analysis stages with approximate reasoning: methods and tools based on granular computingit_IT
dc.typeDoctoral Thesisit_IT
dc.subject.miurINF/01 INFORMATICAit_IT
dc.contributor.coordinatoreAntonelli, Valerioit_IT
dc.description.cicloXXXII cicloit_IT
dc.contributor.tutorOrciuoli, Francescoit_IT
dc.identifier.DipartimentoScienze aziendali - Management & information systemsit_IT
 Find Full text

Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record