Evidence recommendation in forensics based on cyclic meta-paths in heterogeneous information networks

Koblents Lapteva, Eugenia and Alvarez Garcia, Federico (2018). Evidence recommendation in forensics based on cyclic meta-paths in heterogeneous information networks. In: "8th. International Conference on Imaging for Crime Detection and Prevention Imaging for Crime Detection and Prevention, 2017", 13/12/2017 - 15/12/2017, Madrid, Spain. ISBN 978-1-78561-687-7. pp. 1-6. https://doi.org/10.1049/ic.2017.0042.

Description

Title: Evidence recommendation in forensics based on cyclic meta-paths in heterogeneous information networks
Author/s:
  • Koblents Lapteva, Eugenia
  • Alvarez Garcia, Federico
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th. International Conference on Imaging for Crime Detection and Prevention Imaging for Crime Detection and Prevention, 2017
Event Dates: 13/12/2017 - 15/12/2017
Event Location: Madrid, Spain
Title of Book: Proceedings of 8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017)
Date: 7 June 2018
ISBN: 978-1-78561-687-7
Subjects:
Freetext Keywords: Heterogeneous Information Networks, cyclic meta-paths, evidence recommendation in forensics
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

In this article we propose a novel approach for evidence recommendation in digital forensic applications. The so-called Evidence Graph (EG) is a Heterogeneous Information Network (HIN) constructed from entities and relationships extracted from large collections of low quality video footage, collected by surveillance cameras in relation to a crime. The EG has been developed in the context of the EU-funded project LASIE. It presents multiple types of nodes and edges and a generic network schema in which all types of nodes can be connected. In this work, relevant cyclic meta-paths are identified and an iterative scheme for evidence recommendation is proposed and evaluated on real data.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7607480LASIEENGINEERING - INGEGNERIA INFORMATICA SPALArge Scale Information Exploitation of Forensic Data

More information

Item ID: 50820
DC Identifier: http://oa.upm.es/50820/
OAI Identifier: oai:oa.upm.es:50820
DOI: 10.1049/ic.2017.0042
Official URL: https://ieeexplore.ieee.org/document/8372165/
Deposited by: Memoria Investigacion
Deposited on: 25 Sep 2018 15:18
Last Modified: 07 Jun 2019 22:30
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM