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1st International ICST Workshop on Computational Forensics

Research Article

Computational Forensics: Towards Hybrid-Intelligent Crime Investigation

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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
http://dx.doi.org/10.1109/IAS.2007.84
Copyright © 2007–2025 IEEE
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