Smart techniques and tools to detect Steganography - a viable practice to Security Office Department

Detalhes bibliográficos
Autor(a) principal: Moura, João Carlos Zêzere da Silva
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145726
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Smart techniques and tools to detect Steganography - a viable practice to Security Office DepartmentData hidingSteganographySteganalysisImage steganalysisDigital forensicsDeep learningMachine LearningArtificial IntelligenceDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementInternet is today a commodity and a way for being connect to the world. It is through Internet is where most of the information is shared and where people run their businesses. However, there are some people that make a malicious use of it. Cyberattacks have been increasing all over the recent years, targeting people and organizations, looking to perform illegal actions. Cyber criminals are always looking for new ways to deliver malware to victims to launch an attack. Millions of users share images and photos on their social networks and generally users find them safe to use. Contrary to what most people think, images can contain a malicious payload and perform harmful actions. Steganography is the technique of hiding data, which, combined with media files, can be used to place malicious code. This problem, leveraged by the continuous media file sharing through massive use of digital platforms, may become a worldwide threat in malicious content sharing. Like phishing, people and organizations must be trained to suspect about inappropriate content and implement the proper set of actions to reduce probability of infections when accessing files supposed to be inoffensive. The aim of this study will try to help people and organizations by trying to set a toolbox where it can be possible to get some tools and techniques to assist in dealing with this kind of situations. A theoretical overview will be performed over other concepts such as Steganalysis, touching also Deep Learning and in Machine Learning to assess which is the range of its applicability in find solutions in detection and facing these situations. In addition, understanding the current main technologies, architectures and users’ hurdles will play an important role in designing and developing the proposed toolbox artifact.Santos, Vitor Manuel Pereira Duarte dosRUNMoura, João Carlos Zêzere da Silva2022-11-23T19:27:32Z2022-10-282022-10-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/145726TID:203104480enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:26:20Zoai:run.unl.pt:10362/145726Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:13.953913Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
title Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
spellingShingle Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
Moura, João Carlos Zêzere da Silva
Data hiding
Steganography
Steganalysis
Image steganalysis
Digital forensics
Deep learning
Machine Learning
Artificial Intelligence
title_short Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
title_full Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
title_fullStr Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
title_full_unstemmed Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
title_sort Smart techniques and tools to detect Steganography - a viable practice to Security Office Department
author Moura, João Carlos Zêzere da Silva
author_facet Moura, João Carlos Zêzere da Silva
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Moura, João Carlos Zêzere da Silva
dc.subject.por.fl_str_mv Data hiding
Steganography
Steganalysis
Image steganalysis
Digital forensics
Deep learning
Machine Learning
Artificial Intelligence
topic Data hiding
Steganography
Steganalysis
Image steganalysis
Digital forensics
Deep learning
Machine Learning
Artificial Intelligence
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2022
dc.date.none.fl_str_mv 2022-11-23T19:27:32Z
2022-10-28
2022-10-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/145726
TID:203104480
url http://hdl.handle.net/10362/145726
identifier_str_mv TID:203104480
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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