Repository logo
 
Publication

Image Transfer over MQTT in IoT: Message Segmentation and Encryption for Remote Indicator Panels

2024Conference paper Restricted access
Simple item page
dc.contributor.authorValente, David
dc.contributor.authorBrito, Thadeu
dc.contributor.authorCorreia, Márcio
dc.contributor.authorCarvalho, José Augusto
dc.contributor.authorLima, José
dc.date.accessioned2024-10-07T15:53:34Z
dc.date.available2024-10-07T15:53:34Z
dc.date.issued2024
dc.description.abstractThe Internet of Things (IoT) has revolutionized how objects and devices interact, creating new possibilities for seamless connectivity and data exchange. This paper presents a unique and effective method for transferring images via the Message Queuing Telemetry Transport (MQTT) protocol in an encrypted manner. The image is split into multiple messages, with each carrying a segment of the image, and employ top-notch encryption techniques to ensure secure communication. Applying this process, the message payload is split into smaller segments, and consequently, it minimizes the network bandwidth impact while mitigating potential of packet loss or latency issues. Furthermore, by applying encryption techniques, we guarantee the confidentiality and integrity of the image data during transmission, safeguarding against unauthorized access or tampering. Our experiments in a real-world scenario involving remote indicator panels with LEDs verify the effectiveness of our approach. By using our proposed method, we successfully transmit images over MQTT, achieving secure and reliable data transfer while ensuring the integrity of the image content. Our results demonstrate the feasibility and effectiveness of the proposed approach for image transfer in IoT applications. The combination of message segmentation, MQTT protocol, and encryption techniques offers a practical solution for transmitting images in resource-constrained IoT networks while maintaining data security. This approach can be applied in different applications.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). Thadeu Brito is supported by FCT PhD Grant Reference SFRH/BD/08598/2020. Authors are also grateful to DMS - Displays & Mobility Solutions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationValente, David; Brito, Thadeu; Correia, Márcio; Carvalho, José A.; Lima, José (2024). Image Transfer over MQTT in IoT: Message Segmentation and Encryption for Remote Indicator Panels. In 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023). Cham: Springer Nature, Vol. 1, p. 360–373. ISBN 978-3-031-53024-1.pt_PT
dc.identifier.doi10.1007/978-3-031-53025-8_25pt_PT
dc.identifier.isbn978-3-031-53024-1
dc.identifier.isbn978-3-031-53025-8
dc.identifier.urihttp://hdl.handle.net/10198/30337
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMessage Segmentationpt_PT
dc.subjectInternet of Thingspt_PT
dc.subjectMessage Payload Optimizationpt_PT
dc.subjectTransmission Encryption Algorithmpt_PT
dc.titleImage Transfer over MQTT in IoT: Message Segmentation and Encryption for Remote Indicator Panelspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage373pt_PT
oaire.citation.startPage360pt_PT
oaire.citation.title3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameValente
person.familyNameBrito
person.familyNameCarvalho
person.familyNameLima
person.givenNameDavid
person.givenNameThadeu
person.givenNameJosé Augusto
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-id811E-22B3-169E
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id1319-7B8B-4901
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0002-6074-8112
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id27168377100
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication01ce7923-eca4-4376-a773-9708bc7a6a07
relation.isAuthorOfPublicationc8641c9a-a994-4ab2-836d-c758c0e44cc9
relation.isAuthorOfPublication1f4482b3-0c20-4e6f-b2a8-81d854712a81
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryc8641c9a-a994-4ab2-836d-c758c0e44cc9
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublicationd0a17270-80a8-4985-9644-a04c2a9f2dff
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication.latestForDiscoveryd0a17270-80a8-4985-9644-a04c2a9f2dff

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Image Transfer over MQTT in IoT.pdf
Size:
2.96 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus