Sistema de agentes poligínicos para esteganálise de imagens digitais

AUTOR(ES)

Samuel Oliveira de Azevedo

DATA DE PUBLICAÇÃO

2007

RESUMO

In this work, we propose a multi agent system for digital image steganalysis, based on the poliginic bees model. Such approach aims to solve the problem of automatic steganalysis for digital media, with a case study on digital images. The system architecture was designed not only to detect if a file is suspicious of covering a hidden message, as well to extract the hidden message or information regarding it. Several experiments were performed whose results confirm a substantial enhancement (from 67% to 82% success rate) by using the multi-agent approach, fact not observed in traditional systems. An ongoing application using the technique is the detection of anomalies in digital data produced by sensors that capture brain emissions in little animals. The detection of such anomalies can be used to prove theories and evidences of imagery completion during sleep provided by the brain in visual cortex areas

ASSUNTO(S)

segmentação de imagens criptologia esteganálise sistemas multi-agentes cryptology steganography multiagent systems poliginy esteganografia sistemas de computacao coordenação image segmentation poliginia coordination steganalysis

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