A Novel Approach for Generating Synthetic Datasets for Digital Forensics - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

A Novel Approach for Generating Synthetic Datasets for Digital Forensics

Résumé

Increases in the quantity and complexity of digital evidence necessitate the development and application of advanced, accurate and efficient digital forensic tools. Digital forensic tool testing helps assure the veracity of digital evidence, but it requires appropriate validation datasets. The datasets are crucial to evaluating reproducibility and improving the state of the art. Datasets can be real-world or synthetic. While real-world datasets have the advantage of relevance, the interpretation of results can be difficult because reliable ground truth may not exist. In contrast, ground truth is easily established for synthetic datasets.This chapter presents the hystck framework for generating synthetic datasets with ground truth. The framework supports the automated generation of synthetic network traffic and operating system and application artifacts by simulating human-computer interactions. The generated data can be indistinguishable from data generated by normal human-computer interactions. The modular structure of the framework enhances the ability to incorporate extensions that simulate new applications and generate new types of network traffic.
Fichier principal
Vignette du fichier
503209_1_En_5_Chapter.pdf (405.13 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03657236 , version 1 (02-05-2022)

Licence

Paternité

Identifiants

Citer

Thomas Göbel, Thomas Schäfer, Julien Hachenberger, Jan Türr, Harald Baier. A Novel Approach for Generating Synthetic Datasets for Digital Forensics. 16th IFIP International Conference on Digital Forensics (DigitalForensics), Jan 2020, New Delhi, India. pp.73-93, ⟨10.1007/978-3-030-56223-6_5⟩. ⟨hal-03657236⟩
26 Consultations
145 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More