Computational Forensics: Towards Hybrid-Intelligent Crime Investigation

Katrin  Franke; Sargur N. Srihari

1st International ICST Workshop on Computational Forensics

Research Article

Computational Forensics: Towards Hybrid-Intelligent Crime Investigation

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/IAS.2007.84,
    author={Katrin  Franke and Sargur N. Srihari},
    title={Computational Forensics: Towards Hybrid-Intelligent Crime Investigation},
    proceedings={1st International ICST Workshop on Computational Forensics},
    proceedings_a={IWCF},
    year={2007},
    month={9},
    keywords={Biomedical imaging  Computer crime  Computer science  Data analysis  Forensics  Humans  Image reconstruction  Information security  Laboratories  Layout},
    doi={10.1109/IAS.2007.84}
}

Katrin Franke
Sargur N. Srihari
Year: 2007
Computational Forensics: Towards Hybrid-Intelligent Crime Investigation
IWCF
IEEE
DOI: 10.1109/IAS.2007.84

Katrin Franke¹^,*, Sargur N. Srihari²^,*

1: Norwegian Information Security Laboratory, Gjøvik University College, Norway.
2: CEDAR, University at Buffalo, State University of New York, USA.

*Contact email: kyfranke@ieee.org, srihari@cedar.buffalo.edu

Abstract

In recent years, mathematical, statistical and computer science methods have found extensive application in developing new procedures for crime investigation, prosecution and the enforcement of law. Computer-based methods have also become important tools for performing certain forensic functions. Yet, knowledge and intuition of the human expert plays a central role. This paper gives a brief overview of the potential of computational methods in forensics. The state of the art is described, some practical examples are given and a viewpoint is expressed that the methods can be extended to functions that currently rely only on expert knowledge.

Keywords: Biomedical imaging Computer crime Computer science Data analysis Forensics Humans Image reconstruction Information security Laboratories Layout

Published: 2007-09-10
Modified: 2011-08-02 22:00:00 UTC

: http://dx.doi.org/10.1109/IAS.2007.84