ChaSAM: An Architecture Based on Perceptual Hashing for Image Detection in Computer Forensics-Reference-Cited by-同舟云学术

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ChaSAM: An Architecture Based on Perceptual Hashing for Image Detection in Computer Forensics

Published:2024 Issue: Volume:12 Page:104611-104628
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Santos Hericson Dos¹^ORCID,Martins Tiago Dos Santos¹^ORCID,Barreto Jorge Andre Domingues²,Nakamura Luis Hideo Vasconcelos³,Ranieri Caetano Mazzoni⁴^ORCID,de Grande Robson E.⁵^ORCID,Filho Geraldo P. Rocha⁶^ORCID,Meneguette Rodolfo I.³^ORCID

Affiliation:

1. São Paulo Scientific Police, Araçatuba, Brazil

2. São Paulo State Police, São Paulo, Brazil

3. Institute of Mathematical and Computer Sciences, University of São Paulo (USP), São Carlos, Brazil

4. Institute of Geosciences and Exact Sciences, São Paulo State University (UNESP), Rio Claro, Brazil

5. Department of Computer Science, Brock University, St. Catharines, ON, Canada

6. Department of Exact and Technological Sciences, State University of Southwest Bahia (UESB), Vitória da Conquista, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior–Brasil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10613623.pdf?arnumber=10613623

Reference41 articles.

1. Inclusão digital & inclusão social;Martini;Inclusão social,2005

2. Mapa da inclusão digital;Neri,2012

3. Computer Forensics Framework for Efficient and Lawful Privacy-Preserved Investigation

4. Deep web investigação no submundo da internet;Barreto,2019

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