Criptografia adaptativa em redes de sensores visuais sem fio
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UEFS |
Texto Completo: | http://localhost:8080/tede/handle/tede/242 |
Resumo: | Recently Wireless Sensor Networks have gained attention of researchers and industry around the world, such that many projects and solutions have been developed for various scenarios and applications. Such networks are formed by small sensor nodes with low processing power, few memory and few energy. Thus, resources are scarce, particularly energy, where, in most cases these nodes are powered by batteries, which is a crucial point in the network design. A kind of sensor network in which camera-enabled sensors are inserted are call Wireless Visual Sensor Networks. Because of this, these networks become able to recover large quantities of environment information which may to be interesting for several applications. However, in general, sensor networks are very vulnerable due to the nature of the communication and due also to the sensor nodes are, sometimes, in remote, hostile and hard to reach areas. Moreover, the sensor nodes are potentially inexpensive devices that can be easily purchased or designed by others to attack the network. So to mitigate these vulnerabilities, research in security area for such networks are required. However, traditional security mechanisms lead to very overhead of computing and communication can compromise the network performance when they are adopted. Thinking about it, this master's thesis aims to propose a new paradigm to ensure security for wireless visual sensor networks, being presented through a theoretical mathematical model to perform differentiation of areas in the monitoring environment to then considering the particularities of the application monitoring to provide security at different levels. Called Adaptive Encryption, this theoretical model can be used for various applications requiring different security assurances for different network locations, implying providing security at acceptable levels while consuming less network resources, above all energy. |
id |
UEFS_984355f954b93a0340422e2ecdc10dde |
---|---|
oai_identifier_str |
oai:tede2.uefs.br:8080:tede/242 |
network_acronym_str |
UEFS |
network_name_str |
Biblioteca Digital de Teses e Dissertações da UEFS |
repository_id_str |
|
spelling |
Costa, Daniel Gouveia01174798459http://lattes.cnpq.br/8865347912253328Gonçalves, Danilo de Oliveira2015-10-20T23:41:57Z2015-08-19GONÇALVES, Danilo de Oliveira. Criptografia adaptativa em redes de sensores visuais sem fio. 2015. 116 f. Dissertação (Mestrado em Computação Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2015.http://localhost:8080/tede/handle/tede/242Recently Wireless Sensor Networks have gained attention of researchers and industry around the world, such that many projects and solutions have been developed for various scenarios and applications. Such networks are formed by small sensor nodes with low processing power, few memory and few energy. Thus, resources are scarce, particularly energy, where, in most cases these nodes are powered by batteries, which is a crucial point in the network design. A kind of sensor network in which camera-enabled sensors are inserted are call Wireless Visual Sensor Networks. Because of this, these networks become able to recover large quantities of environment information which may to be interesting for several applications. However, in general, sensor networks are very vulnerable due to the nature of the communication and due also to the sensor nodes are, sometimes, in remote, hostile and hard to reach areas. Moreover, the sensor nodes are potentially inexpensive devices that can be easily purchased or designed by others to attack the network. So to mitigate these vulnerabilities, research in security area for such networks are required. However, traditional security mechanisms lead to very overhead of computing and communication can compromise the network performance when they are adopted. Thinking about it, this master's thesis aims to propose a new paradigm to ensure security for wireless visual sensor networks, being presented through a theoretical mathematical model to perform differentiation of areas in the monitoring environment to then considering the particularities of the application monitoring to provide security at different levels. Called Adaptive Encryption, this theoretical model can be used for various applications requiring different security assurances for different network locations, implying providing security at acceptable levels while consuming less network resources, above all energy.Recentemente as Redes de Sensores Sem Fio têm ganhado a atenção de pesquisadores, da indústria e do meio acadêmico ao redor do mundo todo, de modo que muitos projetos e soluções têm sido desenvolvidas para diversos cenários e aplicações. Essas redes são formadas por pequenos nós sensores com pouco poder de processamento, memória e energia. Sendo assim, os recursos são bastante escassos, principalmente energia, onde, na maioria das vezes estes nós são alimentados por baterias, sendo este um ponto crucial no projeto da rede. Um tipo de rede de sensores em que os nós possuem câmeras de vídeo embutidas são chamadas de Redes de Sensores Visuais Sem Fio. Devido a isso, tais redes se tornam capazes de recuperar grandes quantidades de informações do ambiente o que pode ser interessante para diversas aplicações. Todavia, de forma geral, as redes de sensores são muito vulneráveis devido a natureza da comunicação e devido também aos nós sensores estarem, algumas vezes, em locais remotos, hostis e de difícil acesso. Além disso, os nós sensores são dispositivos potencialmente baratos que podem ser facilmente adquiridos ou projetados por terceiros a fim de atacar a rede. Então, visando atenuar essas vulnerabilidades, pesquisas na área de segurança para tais redes são necessárias. Contudo, os mecanismos de segurança tradicionais geram muito sobrecarga de computação e comunicação podendo comprometer o desempenho da rede quando são adotados. Pensando nisso, este trabalho de mestrado tem como objetivo propor um novo paradigma para garantir segurança para redes de sensores visuais sem fio, sendo apresentado através um modelo matemático teórico para realizar diferenciação de áreas no ambiente de monitoramento para, então, considerando as particularidades da aplicação de monitoramento, prover segurança em diferentes níveis. Chamado de Criptografia Adaptativa, este modelo teórico pode ser utilizado por diversas aplicações que necessitem de garantias de segurança diferenciadas para diferentes locais da rede, o que implica em prover segurança em níveis aceitáveis consumindo menos recursos da rede, principalmente energia.Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2015-10-20T23:41:57Z No. of bitstreams: 1 Dissertação-Danilo-Versão-final-pós-banca .pdf: 11564872 bytes, checksum: 0a0388f802ddac466fce74bea4b02895 (MD5)Made available in DSpace on 2015-10-20T23:41:57Z (GMT). No. of bitstreams: 1 Dissertação-Danilo-Versão-final-pós-banca .pdf: 11564872 bytes, checksum: 0a0388f802ddac466fce74bea4b02895 (MD5) Previous issue date: 2015-08-19Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Estadual de Feira de SantanaMestrado em Computação AplicadaUEFSBrasilDEPARTAMENTO DE TECNOLOGIACriptografiaRede de sensores sem fioRedes de sensores visuais sem fioCryptographyWireless sensor networksWireless visual sensor networksCIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAOCIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOCriptografia adaptativa em redes de sensores visuais sem fioinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis35536273586840950926006006006006004335108523020347051-86207825708332530189300925156837715312075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UEFSinstname:Universidade Estadual de Feira de Santana (UEFS)instacron:UEFSORIGINALDissertação-Danilo-Versão-final-pós-banca .pdfDissertação-Danilo-Versão-final-pós-banca .pdfapplication/pdf11564872http://tede2.uefs.br:8080/bitstream/tede/242/2/Disserta%C3%A7%C3%A3o-Danilo-Vers%C3%A3o-final-p%C3%B3s-banca+.pdf0a0388f802ddac466fce74bea4b02895MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://tede2.uefs.br:8080/bitstream/tede/242/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede/2422015-12-02 17:56:50.497oai:tede2.uefs.br:8080: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.uefs.br:8080/PUBhttp://tede2.uefs.br:8080/oai/requestbcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.bropendoar:2015-12-02T20:56:50Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS)false |
dc.title.por.fl_str_mv |
Criptografia adaptativa em redes de sensores visuais sem fio |
title |
Criptografia adaptativa em redes de sensores visuais sem fio |
spellingShingle |
Criptografia adaptativa em redes de sensores visuais sem fio Gonçalves, Danilo de Oliveira Criptografia Rede de sensores sem fio Redes de sensores visuais sem fio Cryptography Wireless sensor networks Wireless visual sensor networks CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
title_short |
Criptografia adaptativa em redes de sensores visuais sem fio |
title_full |
Criptografia adaptativa em redes de sensores visuais sem fio |
title_fullStr |
Criptografia adaptativa em redes de sensores visuais sem fio |
title_full_unstemmed |
Criptografia adaptativa em redes de sensores visuais sem fio |
title_sort |
Criptografia adaptativa em redes de sensores visuais sem fio |
author |
Gonçalves, Danilo de Oliveira |
author_facet |
Gonçalves, Danilo de Oliveira |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Costa, Daniel Gouveia |
dc.contributor.authorID.fl_str_mv |
01174798459 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/8865347912253328 |
dc.contributor.author.fl_str_mv |
Gonçalves, Danilo de Oliveira |
contributor_str_mv |
Costa, Daniel Gouveia |
dc.subject.por.fl_str_mv |
Criptografia Rede de sensores sem fio Redes de sensores visuais sem fio |
topic |
Criptografia Rede de sensores sem fio Redes de sensores visuais sem fio Cryptography Wireless sensor networks Wireless visual sensor networks CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
dc.subject.eng.fl_str_mv |
Cryptography Wireless sensor networks Wireless visual sensor networks |
dc.subject.cnpq.fl_str_mv |
CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
description |
Recently Wireless Sensor Networks have gained attention of researchers and industry around the world, such that many projects and solutions have been developed for various scenarios and applications. Such networks are formed by small sensor nodes with low processing power, few memory and few energy. Thus, resources are scarce, particularly energy, where, in most cases these nodes are powered by batteries, which is a crucial point in the network design. A kind of sensor network in which camera-enabled sensors are inserted are call Wireless Visual Sensor Networks. Because of this, these networks become able to recover large quantities of environment information which may to be interesting for several applications. However, in general, sensor networks are very vulnerable due to the nature of the communication and due also to the sensor nodes are, sometimes, in remote, hostile and hard to reach areas. Moreover, the sensor nodes are potentially inexpensive devices that can be easily purchased or designed by others to attack the network. So to mitigate these vulnerabilities, research in security area for such networks are required. However, traditional security mechanisms lead to very overhead of computing and communication can compromise the network performance when they are adopted. Thinking about it, this master's thesis aims to propose a new paradigm to ensure security for wireless visual sensor networks, being presented through a theoretical mathematical model to perform differentiation of areas in the monitoring environment to then considering the particularities of the application monitoring to provide security at different levels. Called Adaptive Encryption, this theoretical model can be used for various applications requiring different security assurances for different network locations, implying providing security at acceptable levels while consuming less network resources, above all energy. |
publishDate |
2015 |
dc.date.accessioned.fl_str_mv |
2015-10-20T23:41:57Z |
dc.date.issued.fl_str_mv |
2015-08-19 |
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.citation.fl_str_mv |
GONÇALVES, Danilo de Oliveira. Criptografia adaptativa em redes de sensores visuais sem fio. 2015. 116 f. Dissertação (Mestrado em Computação Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2015. |
dc.identifier.uri.fl_str_mv |
http://localhost:8080/tede/handle/tede/242 |
identifier_str_mv |
GONÇALVES, Danilo de Oliveira. Criptografia adaptativa em redes de sensores visuais sem fio. 2015. 116 f. Dissertação (Mestrado em Computação Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2015. |
url |
http://localhost:8080/tede/handle/tede/242 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
3553627358684095092 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 600 |
dc.relation.department.fl_str_mv |
4335108523020347051 |
dc.relation.cnpq.fl_str_mv |
-862078257083325301 8930092515683771531 |
dc.relation.sponsorship.fl_str_mv |
2075167498588264571 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Feira de Santana |
dc.publisher.program.fl_str_mv |
Mestrado em Computação Aplicada |
dc.publisher.initials.fl_str_mv |
UEFS |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
DEPARTAMENTO DE TECNOLOGIA |
publisher.none.fl_str_mv |
Universidade Estadual de Feira de Santana |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da UEFS instname:Universidade Estadual de Feira de Santana (UEFS) instacron:UEFS |
instname_str |
Universidade Estadual de Feira de Santana (UEFS) |
instacron_str |
UEFS |
institution |
UEFS |
reponame_str |
Biblioteca Digital de Teses e Dissertações da UEFS |
collection |
Biblioteca Digital de Teses e Dissertações da UEFS |
bitstream.url.fl_str_mv |
http://tede2.uefs.br:8080/bitstream/tede/242/2/Disserta%C3%A7%C3%A3o-Danilo-Vers%C3%A3o-final-p%C3%B3s-banca+.pdf http://tede2.uefs.br:8080/bitstream/tede/242/1/license.txt |
bitstream.checksum.fl_str_mv |
0a0388f802ddac466fce74bea4b02895 bd3efa91386c1718a7f26a329fdcb468 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS) |
repository.mail.fl_str_mv |
bcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.br |
_version_ |
1809288768770801664 |