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About image security using machine learning

Grant number: 17/22905-6
Support type:Regular Research Grants
Duration: March 01, 2018 - February 29, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Kelton Augusto Pontara da Costa
Grantee:Kelton Augusto Pontara da Costa
Home Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
Assoc. researchers:João Paulo Papa

Abstract

Seam carving and Watermarks are specific techniques for use in the area of image processing, where they have as characteristics the achievement of information security, concealment of information within images, as well as the reduction of their size, preserving your characteristics. Nowadays, such techniques are characterized as one of the main problems in the area of image security, and may even harm other areas such as the detection of modified images, an area specifically studied and applied by Computational Forensic Expertise. The present work proposal aims to act in two aspects, the first one in the detection of altered images using the Optimum-Path Forest classifier (OPF) and the Convolutional Reural Networks (CNN), and the second, in the detection of Watermark in images using the OPF classifier. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA, LUIS A.; DA COSTA, KELTON A. P.; PAPA, JOAO P.; ROSA, GUSTAVO; DE ALBUQUERQUE, VICTOR HUGO C. Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection. IET NETWORKS, v. 8, n. 3, SI, p. 164-168, MAY 2019. Web of Science Citations: 0.
DA COSTA, KELTON A. P.; PAPA, JOAO P.; LISBOA, CELSO O.; MUNOZ, ROBERTO; DE ALBUQUERQUE, VICTOR HUGO C. Internet of Things: A survey on machine learning-based intrusion detection approaches. Computer Networks, v. 151, p. 147-157, MAR 14 2019. Web of Science Citations: 4.
PAPA, JOAO P.; ROSA, GUSTAVO H.; DE SOUZA, ANDRE N.; AFONSO, LUIS C. S. Feature selection through binary brain storm optimization. COMPUTERS & ELECTRICAL ENGINEERING, v. 72, p. 468-481, NOV 2018. Web of Science Citations: 2.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.