University of Hertfordshire

By the same authors

Extracting Intelligence from Digital Forensic Artefacts

Research output: Contribution to conferencePaper

Standard

Extracting Intelligence from Digital Forensic Artefacts. / Vidalis, Stilianos; Angelopoulou, Olga; Jones, Andrew.

2016. Paper presented at 15th European Conference on Cyber Warfare and Security, Munich, Germany.

Research output: Contribution to conferencePaper

Harvard

Vidalis, S, Angelopoulou, O & Jones, A 2016, 'Extracting Intelligence from Digital Forensic Artefacts' Paper presented at 15th European Conference on Cyber Warfare and Security, Munich, Germany, 7/07/16 - 8/07/16, .

APA

Vidalis, S., Angelopoulou, O., & Jones, A. (2016). Extracting Intelligence from Digital Forensic Artefacts. Paper presented at 15th European Conference on Cyber Warfare and Security, Munich, Germany.

Vancouver

Vidalis S, Angelopoulou O, Jones A. Extracting Intelligence from Digital Forensic Artefacts. 2016. Paper presented at 15th European Conference on Cyber Warfare and Security, Munich, Germany.

Author

Vidalis, Stilianos ; Angelopoulou, Olga ; Jones, Andrew. / Extracting Intelligence from Digital Forensic Artefacts. Paper presented at 15th European Conference on Cyber Warfare and Security, Munich, Germany.

Bibtex

@conference{aa5dc3d2a73940e196ad99bb73a4036a,
title = "Extracting Intelligence from Digital Forensic Artefacts",
abstract = "Forensic science and in particular digital forensics as a business process has predominantly been focusing on generating evidence for court proceedings. It is argued that in today’s socially-driven, knowledge-centric, virtual-computing era, this is not resource effective. In past cases it has been discovered retrospectively that the necessary information for a successful identification and extraction of evidence was previously available in a database or within previously analysed files. Such evidence could have been proactively used in order to solve a particular case, a number of linked cases or to better understand the criminal activity as a whole. This paper will present a conceptual architecture for a distributed system that will allow forensic analysts to forensically fuse and semantically analyse digital evidence for the extraction of intelligence that could lead to the accumulation of knowledge necessary for a successful prosecution.",
keywords = "intelligence-led policing, evidence fusion and dissemination, forensic intelligence, ID theft",
author = "Stilianos Vidalis and Olga Angelopoulou and Andrew Jones",
note = "Stilianos Vidalis, Olga Angelopoulou, Andrew Jones, ‘Extracting Intelligence from Digital Forensic Artefacts’, paper presented at the 15th European Conference on Cyber Warfare and Security, Munich, Germany, 7-8 July, 2016. ; 15th European Conference on Cyber Warfare and Security ; Conference date: 07-07-2016 Through 08-07-2016",
year = "2016",
month = "7",
day = "7",
language = "English",

}

RIS

TY - CONF

T1 - Extracting Intelligence from Digital Forensic Artefacts

AU - Vidalis, Stilianos

AU - Angelopoulou, Olga

AU - Jones, Andrew

N1 - Stilianos Vidalis, Olga Angelopoulou, Andrew Jones, ‘Extracting Intelligence from Digital Forensic Artefacts’, paper presented at the 15th European Conference on Cyber Warfare and Security, Munich, Germany, 7-8 July, 2016.

PY - 2016/7/7

Y1 - 2016/7/7

N2 - Forensic science and in particular digital forensics as a business process has predominantly been focusing on generating evidence for court proceedings. It is argued that in today’s socially-driven, knowledge-centric, virtual-computing era, this is not resource effective. In past cases it has been discovered retrospectively that the necessary information for a successful identification and extraction of evidence was previously available in a database or within previously analysed files. Such evidence could have been proactively used in order to solve a particular case, a number of linked cases or to better understand the criminal activity as a whole. This paper will present a conceptual architecture for a distributed system that will allow forensic analysts to forensically fuse and semantically analyse digital evidence for the extraction of intelligence that could lead to the accumulation of knowledge necessary for a successful prosecution.

AB - Forensic science and in particular digital forensics as a business process has predominantly been focusing on generating evidence for court proceedings. It is argued that in today’s socially-driven, knowledge-centric, virtual-computing era, this is not resource effective. In past cases it has been discovered retrospectively that the necessary information for a successful identification and extraction of evidence was previously available in a database or within previously analysed files. Such evidence could have been proactively used in order to solve a particular case, a number of linked cases or to better understand the criminal activity as a whole. This paper will present a conceptual architecture for a distributed system that will allow forensic analysts to forensically fuse and semantically analyse digital evidence for the extraction of intelligence that could lead to the accumulation of knowledge necessary for a successful prosecution.

KW - intelligence-led policing, evidence fusion and dissemination, forensic intelligence, ID theft

M3 - Paper

ER -