| Grant number: | 10/05647-4 |
| Support Opportunities: | Research Grants - Young Investigators Grants |
| Start date: | December 01, 2010 |
| End date: | November 30, 2014 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Anderson de Rezende Rocha |
| Grantee: | Anderson de Rezende Rocha |
| Host Institution: | Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Associated research grant(s): | 14/18289-0 - 7th International Conference on Similarity Search and Applications (SISAP'2014), AR.EXT |
| Associated scholarship(s): | 11/03808-3 - Digital images source attribution, BP.MS |
Abstract
Digital documents (e.g., images, videos) are everywhere --- from our cell phones to the pages of our online news sites. How we choose to use digital document processing tools raises a surprising host of legal and ethical questions that we must address. Is tampering with an image appropriate in cases where the image might affect public behavior? Does an image represent a crime, or is it simply a representation of a scene that has never existed? Before police action can even be taken on the basis of a questionable document, we must detect something about the document itself. Investigators from a diverse set of fields require the best possible tools to tackle the challenges presented by the malicious use of today's digital document processing techniques. In this research project, we endeavor to investigate possible solutions to Digital Forensics problems regarding the collection, organization, classification and analysis of digital evidences. With respect to the collection and organization, we look for approaches to reduce the misuse of possible important evidences. Regarding the classification, we strive for finding digital evidences categorization solutions in order to reduce the required technical efforts when analyzing each evidence. Finally, concerning the analysis, we aim to investigate the source of the evidence as well as whether or not it is authentic. In source device identification, we seek to identify the particular model of a capturing device (e.g., scanner, camera, printer), or the exact device, that produced a document. In forgery detection, we seek to establish the authenticity of a document or to expose any potential tampering the document might has undergone. We intend to carry out the research with our co-partners at the Brazilian Federal Police as well as its counterpart in the State of São Paulo. (AU)
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