Publication:
Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model

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dc.citedby3
dc.contributor.authorAlomari M.F.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorYusoff Y.B.en_US
dc.contributor.authorGharaei N.en_US
dc.contributor.authorAbdalla R.A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorid57350402200en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56921898900en_US
dc.contributor.authorid57194518462en_US
dc.contributor.authorid58628584500en_US
dc.contributor.authorid55652730500en_US
dc.date.accessioned2024-10-14T03:20:14Z
dc.date.available2024-10-14T03:20:14Z
dc.date.issued2023
dc.description.abstractEffective monitoring of illegal border crossings is a complex problem. Therefore, Border Security Systems (BSS) are deployed at border crossings to detect unauthorised intrusions. Sensor nodes continuously monitor the environment in a BSS and send the generated data to a Control Station (CS). This is then synchronised with the online data storage in the cloud. However, the data that is not needed is also written to the cloud storage, which leads to an increase in the cost of the cloud service. In addition, sensor nodes have limitations in battery performance that lead to irreparable damage in BSSs. Therefore, to overcome the above limitations, a new solution is required to optimize cloud costs and provide energy services for BSSs. To this end, we present a data encryption-enabled cloud cost optimization and energy efficiency-based innovative border security model. In the proposed model, evaluators check the importance of the collected data and send only the data required to CS to reduce the cloud storage cost. Furthermore, the proposed model enhances the energy efficiency of the sensor nodes by utilizing a Power Transmitter Device (PTD) that can charge the consumer devices while moving along a predefined mobility pattern. The proposed model optimizes cloud costs by up to 93%, energy efficiency by up to 50%, and network throughput by up to 11%. Based on the simulation results, the proposed model is plausible and practical compared to similar models. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2023.3317883
dc.identifier.epage104141
dc.identifier.scopus2-s2.0-85172993517
dc.identifier.spage104126
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85172993517&doi=10.1109%2fACCESS.2023.3317883&partnerID=40&md5=bcc6935159ed3a244c383030044c7ad8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34504
dc.identifier.volume11
dc.pagecount15
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.subjectBorder security systems
dc.subjectcloud storage cost optimization
dc.subjectenergy efficiency
dc.subjectwireless power transmission
dc.subjectwireless sensor networks
dc.subjectCloud storage
dc.subjectCosts
dc.subjectCryptography
dc.subjectElectric power transmission
dc.subjectEnergy efficiency
dc.subjectEnergy storage
dc.subjectInformation management
dc.subjectNetwork security
dc.subjectOptimization
dc.subjectPower transmission
dc.subjectSecurity systems
dc.subjectSensor nodes
dc.subjectStorage management
dc.subjectBorder security
dc.subjectBorder security system
dc.subjectCloud storage cost optimization
dc.subjectCloud storages
dc.subjectCloud-computing
dc.subjectCosts Optimization
dc.subjectHeuristics algorithm
dc.subjectOptimisations
dc.subjectSecurity
dc.subjectStorage costs
dc.subjectWireless power transmission
dc.subjectHeuristic algorithms
dc.titleData Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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