Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorTahsin, Mohammad Sadman
dc.contributor.authorAziz, Md. Yasin
dc.contributor.authorKabbo, Tanjid Alam
dc.contributor.authorTahsin, Tasnuva
dc.contributor.authorZumme, Nadia Haque
dc.contributor.authorHossain, Muhammad Iqbal
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-08-02T04:56:02Z
dc.date.available2026-08-02T04:56:02Z
dc.date.issued2021-01-01
dc.description.abstractIn the current ongoing world of IoT (Internet of things) devices, it is vital to have a safe, secure and reliable cyberspace. Cyberspace or network is free from all sorts of unethical activities like hacked systems, data breaches and stolen data. For that goal to be accomplished, we need to have a modern, solid and rigid cybersecurity system to stay safe from harm's way. Our research includes recent IoT data security issues and a robust security model that ensures the IoT devices' data security based on a smart city's perspective. According to the recent research data on the vulnerable IoT devices we propose an intelligent and effective security approach to tackle the modern IoT security issues because our data needs to be protected as the IoT devices or 'things' as we call it needs to have proper security. A few areas of future research indicate the use of blockchain to resolve the cybersecurity issues of IoT devices are the most promising and exciting.
dc.description.versionPublished
dc.format.extent381-386
dc.identifier.citationM. S. Tahsin, M. Y. Aziz, T. A. Kabbo, T. Tahsin, N. h. Zumme and M. I. Hossain, "Data Security Model Using Deep Learning and Edge Computing for Internet of Things (IoT) in Smart City," 2021 19th OITS International Conference on Information Technology (OCIT), Bhubaneswar, India, 2021, pp. 381-386, doi: 10.1109/OCIT53463.2021.00081.
dc.identifier.doi10.1109/OCIT53463.2021.00081
dc.identifier.issn9781665416641
dc.identifier.other2-s2.0-85127399088
dc.identifier.urihttps://hdl.handle.net/10361/28734
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/OCIT53463.2021.00081
dc.relation.ispartofProceedings 2021 19th Oits International Conference on Information Technology Ocit 2021
dc.relation.ispartofseriesProceedings 2021 19th Oits International Conference on Information Technology Ocit 2021
dc.relation.urihttps://ieeexplore.ieee.org/document/9719351
dc.rightsfalse
dc.subjectCNN
dc.subjectEDGE computer
dc.subjectIoT
dc.subjectLSTM
dc.subjectMalware
dc.subjectSmart city
dc.subject.lcshInternet of things.
dc.subject.lcshComputer viruses.
dc.subject.lcshCities and towns--Technological innovations.
dc.subject.lcshSmart cities.
dc.titleData security model using deep learning and edge computing for Internet of Things (IoT) in smart city
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id60111346300
person.identifier.scopus-author-id57557759100
person.identifier.scopus-author-id57558276400
person.identifier.scopus-author-id57558276500
person.identifier.scopus-author-id57559060200
person.identifier.scopus-author-id57799191800

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