0000000000645046

AUTHOR

Yoan Chabot

0000-0001-5639-1504

showing 5 related works from this author

De la scène de crime aux connaissances : représentation d'évènements et peuplement d'ontologie appliqués au domaine de la criminalistique informatique

2015

International audience; Avec la démocratisation des technologies, les enquêtes de criminalistique informatique impliquent des volumes de données toujours plus grands et hétérogènes. Pour faciliter le travail des enquêteurs, nos travaux ont pour objectif de reconstruire automatiquement les évènements liés à un incident numérique, tout en respectant les exigences légales. Pour cela, il est nécessaire d'introduire un modèle de représentation de connaissances permettant de structurer les informations recueillies sur une scène de crime dans le but de faciliter l'utilisation de processus d'analyse automatisés. Ce papier propose un état de l'art des modèles de représentations d'évènements pour le …

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-WB] Computer Science [cs]/WebCriminalistique informatique[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-WB ] Computer Science [cs]/Web[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Représentation d'incidentsReconstruction de scénariosPeuplement d'ontologie
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An Ontology-Based Approach for the Reconstruction and Analysis of Digital Incidents Timelines

2015

International audience; Due to the democratisation of new technologies, computer forensics investigators have to deal with volumes of data which are becoming increasingly large and heterogeneous. Indeed, in a single machine, hundred of events occur per minute, produced and logged by the operating system and various software. Therefore, the identification of evidence, and more generally, the reconstruction of past events is a tedious and time-consuming task for the investigators. Our work aims at reconstructing and analysing automatically the events related to a digital incident, while respecting legal requirements. To tackle those three main problems (volume, heterogeneity and legal require…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceOntology PopulationDigital forensics[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyEvent ReconstructionOntology (information science)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]SoftwareKnowledge extraction[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]020204 information systemsForensic OntologyTimeline Analysis0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Event reconstructionKnowledge Extractionbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebTimelineComputer forensicsData scienceComputer Science Applications[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Medical Laboratory TechnologyIdentification (information)Digital Forensics[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]020201 artificial intelligence & image processingbusinessLaw
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Event Reconstruction

2014

Event reconstruction is one of the most important step in digital forensic investigations. It allows investigators to have a clear view of the events that have occurred over time. Event reconstruction is a complex task which requires exploration of a large amount of events due to the pervasiveness of new technologies nowadays. Any evidence produced at the end of the investigative process must also meet the requirements of the courts, such as reproducibility, verifiability, validation, etc. After defining the most important concepts of event reconstruction, a survey of the challenges of this field and solutions proposed so far is given in this chapter. Irish Research Council Science Foundati…

EngineeringDigital ForensicEmerging technologiesProcess (engineering)[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Digital forensicsEvent Reconstruction02 engineering and technologyField (computer science)Task (project management)[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]020204 information systemsMachine learning0202 electrical engineering electronic engineering information engineeringEvent reconstructionbusiness.industryStatisticsDigital holography020207 software engineeringData science[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY]Terahertz imaging[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]State (computer science)businessSparsity
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Automatic Timeline Construction and Analysis For Computer Forensics Purposes

2014

International audience; To determine the circumstances of an incident, investigators need to reconstruct events that occurred in the past. The large amount of data spread across the crime scene makes this task very tedious and complex. In particular, the analysis of the reconstructed timeline, due to the huge quantity of events that occurred on a digital system, is almost impossible and leads to cognitive overload. Therefore, it becomes more and more necessary to develop automatic tools to help or even replace investigators in some parts of the investigation. This paper introduces a multi-layered architecture designed to assist the investigative team in the extraction of information left in…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Computer science[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Digital forensicsEvent ReconstructionOntology (information science)Computer securitycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Task (project management)[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]Timeline AnalysisCrime scene[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Event reconstructionOntologyTimelineComputer forensics16. Peace & justiceData science[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY]Digital Forensics[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]computerCognitive load
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Semantic Measures: A State of the Art

2014

Significant advances in terms of syntactic, structural and schematic heterogeneity have been achieved by adopting conventions and standards. The IT community is now trying to solve the problem of semantic heterogeneity (particularly in the Semantic Web field). To reach this objective, it is necessary to enable machines to understand the semantics of terms. Semantics, as opposed to syntax, defines the mental representation of concepts corresponding to the symbols used in texts or images. When a person reads a text, he uses a semantization process which enables him to associate an interpretation to each sign identified. This operation uses a number of underlying processes such as measuring se…

[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing[INFO.INFO-TT] Computer Science [cs]/Document and Text ProcessingSemantic relatednessSemantic measures
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