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dc.contributor.authorErsotelos, Nikolaos
dc.contributor.authorBottarelli, Mirko
dc.contributor.authoral-Khateeb, Haider
dc.contributor.authorEpiphaniou, Gregory
dc.contributor.authorAlhaboby, Zhraa
dc.contributor.authorPillai, Prashant
dc.contributor.authorAggoun, Amar
dc.date.accessioned2021-01-06T11:16:14Z
dc.date.available2021-01-06T11:16:14Z
dc.date.issued2020-12-29
dc.identifier.citationErsotelos N, Bottarelli M, Al-Khateeb H, Epiphaniou G, Alhaboby Z, Pillai P, Aggoun A. (2020) Blockchain and IoMT against Physical Abuse: Bullying in Schools as a Case Study. Journal of Sensor and Actuator Networks. 2021; 10(1),1.en
dc.identifier.issn2224-2708en
dc.identifier.doi10.3390/jsan10010001en
dc.identifier.urihttp://hdl.handle.net/2436/623858
dc.description© 2020 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/jsan10010001en
dc.description.abstractBy law, schools are required to protect the well-being of students against problems such as on-campus bullying and physical abuse. In the UK, a report by the Office for Education (OfE) showed 17% of young people had been bullied during 2017–2018. This problem continues to prevail with consequences including depression, anxiety, suicidal thoughts, and eating disorders. Additionally, recent evidence suggests this type of victimisation could intensify existing health complications. This study investigates the opportunities provided by Internet of Medical Things (IoMT) data towards next-generation safeguarding. A new model is developed based on blockchain technology to enable real-time intervention triggered by IoMT data that can be used to detect stressful events, e.g., when bullying takes place. The model utilises private permissioned blockchain to manage IoMT data to achieve quicker and better decision-making while revolutionising aspects related to compliance, double-entry, confidentiality, and privacy. The feasibility of the model and the interaction between the sensors and the blockchain was simulated. To facilitate a close approximation of an actual IoMT environment, we clustered and decomposed existing medical sensors to their attributes, including their function, for a variety of scenarios. Then, we demonstrated the performance and capabilities of the emulator under different loads of sensor-generated data. We argue to the suitability of this emulator for schools and medical centres to conduct feasibility studies to address sensor data with disruptive data processing and management technologies.en
dc.description.sponsorshipThis research was funded by Innovate UK, grant number 133891.en
dc.formatapplication/pdfen
dc.languageen
dc.language.isoenen
dc.publisherMDPI AGen
dc.relation.urlhttps://www.mdpi.com/2224-2708/10/1/1en
dc.subjectblockchainen
dc.subjectsmart contractsen
dc.subjectmedical sensorsen
dc.subjectacademyen
dc.subjectbullyingen
dc.subjectstudentsen
dc.subjectchronic conditionsen
dc.subjectvulnerable groupsen
dc.titleBlockchain and IoMT against physical abuse: bullying in schools as a case studyen
dc.typeJournal articleen
dc.identifier.eissn2224-2708
dc.identifier.journalJournal of Sensor and Actuator Networksen
dc.date.updated2021-01-04T22:29:30Z
dc.date.accepted2020-12-25
rioxxterms.funderInnovate UKen
rioxxterms.identifier.project133891en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2021-01-06en
dc.source.volume10
dc.source.issue1
dc.source.beginpage1
dc.source.endpage1
dc.description.versionPublished online
refterms.dateFCD2021-01-06T11:16:01Z
refterms.versionFCDVoR
refterms.dateFOA2021-01-06T11:16:15Z


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