Internet of Thing and Smart City: State of the Art and Future Trends

Jaafar, Ako A.; Sharif, Karzan Hussein; Ghareb, Mazen Ismaeel; Jawawi, Dayang Norhayati Abang

doi:10.1007/978-981-13-0344-9_1

Cited by 6 publications

(2 citation statements)

References 87 publications

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“…Over the last few years, the IoT has entered various sectors, so this network of sensors, actuators, and smart objects, whose purpose is to interconnect all things, has huge potential and usefulness benefits for the population [ 31 ]. IoT is used in many fields, such as agriculture, smart cities—including smart homes, smart grids, smart agriculture, smart lighting systems, smart transportation, smart healthcare, and augmented reality (AR) [ 32 , 33 , 34 ], alongside traffic, healthcare, security, and retail. Still, there are other fields, like education, where it is relatively scarce [ 31 ].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things

Carlos

Moreira

2023

Sensors

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Generally, there is much to praise about the rise in acknowledging the need for young citizens to exercise their rights and duties, but the belief remains that this is not yet entrenched in young citizens’ overall democratic involvement. A lack of citizenship and engagement in community issues was revealed by a recent study conducted by the authors in a secondary school from the outskirts of Aveiro, Portugal, during the 2019/2020 school year. Under the umbrella of a Design-Based Research methodological framework, citizen science strategies were implemented in the context of teaching, learning, and assessment, and at the service of the educational project of the target school, in a STEAM approach, and under Domains of Curricular Autonomy activities. The study’s findings suggest that to build the bridge for participatory citizenship, teachers should engage students in collecting and analyzing data regarding communal environmental issues in a Citizen Science approach supported by the Internet of Things. The new pedagogies addressing the lack of citizenship and engagement in community issues promoted students’ involvement at school and in the community, contributed to inform municipal education policies, and promoted dialogue and communication between local actors.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things

Carlos

Moreira

2023

Sensors

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“…e study also elaborated the probable threats of security to the devices of IoT in the environment of smart city. Jaafar et al [16] discussed the literature on the IoT-based smart city from the architecture, platform, technology, and application domain perspectives. Various challenges are raised to the best-effort IoT during the security, end-to-end communication, and energy efficiency.…”

Section: Related Workmentioning

confidence: 99%

Acquiring Data Traffic for Sustainable IoT and Smart Devices Using Machine Learning Algorithm

Nazir

et al. 2021

Security and Communication Networks

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Billions of devices are connected via the Internet which has produced various challenges and opportunities. The increase in the number of devices connected to the Internet of things (IoT) is nearly beyond imagination. These devices are communicating with each other and facilitating human life. The connection of these devices has provided opening directions for the smart applications which are one of the growing areas of research. Among these opportunities, security and privacy are considered to be one of the major issues for researchers to tackle. Proper security measures can prevent attackers from interrupting the security of IoT network inside the smart city for secure data traffic. Keeping in view the security consideration of data traffic for smart devices and IoT, the proposed study presented machine learning algorithms for securing the data traffic based on a firewall for smart devices and IoT network. The study has used the dataset of “Firewall” for validation purposes. The experimental results of the approach show that the hybrid deep learning model (based on convolution neural network and support vector machine) outperforms than decision1 rules and random forest by generating a recognition rate of 95.5% for the hybrid model, 68.5% for decision rules, and 78.3% accuracy for random forest. The validity of the proposed model is also tested based on other performance metrics such as f score, error rate, recall, and precision. This high accuracy rate and other performance values show the applicability of the proposed hybrid model to secure data traffic purposes in smart devices. This can be used in many research areas of the smart city for security purposes.

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Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature Review

2021

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Internet of Thing and Smart City: State of the Art and Future Trends

Cited by 6 publications

References 87 publications

Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things

Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things

Acquiring Data Traffic for Sustainable IoT and Smart Devices Using Machine Learning Algorithm

Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature Review

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