HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
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

Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Tuesday, April 7, 2020 - 10:37:26 AM
Last modification on : Sunday, November 22, 2020 - 12:52:02 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



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⟩



Record views


Files downloads