Skip to Main content Skip to Navigation
Conference papers

Implementing the Harmonized Model for Digital Evidence Admissibility Assessment

Abstract : Standardization of digital forensics has become an important focus area for researchers and criminal justice practitioners. Over the past decade, several efforts have been made to encapsulate digital forensic processes and activities in harmonized frameworks for incident investigations. A harmonized model for digital evidence admissibility assessment has been proposed for integrating the technical and legal determinants of digital evidence admissibility, thereby providing a techno-legal foundation for assessing digital evidence admissibility in judicial proceedings.This chapter presents an algorithm underlying the harmonized model for digital evidence admissibility assessment, which enables the determination of the evidential weight of digital evidence using factor analysis. The algorithm is designed to be used by judges to determine evidence admissibility in criminal proceedings. However, it should also be useful to investigators, prosecutors and defense lawyers for evaluating potential digital evidence before it is presented in court.
Document type :
Conference papers
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download

https://hal.inria.fr/hal-02534607
Contributor : Hal Ifip <>
Submitted on : Tuesday, April 7, 2020 - 10:37:26 AM
Last modification on : Sunday, November 22, 2020 - 12:52:02 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Albert Antwi-Boasiako, Hein Venter. Implementing the Harmonized Model for Digital Evidence Admissibility Assessment. 15th IFIP International Conference on Digital Forensics (DigitalForensics), Jan 2019, Orlando, FL, United States. pp.19-36, ⟨10.1007/978-3-030-28752-8_2⟩. ⟨hal-02534607⟩

Share

Metrics

Record views

35