| Title |
A Hyperconnected Smart City Framework: Digital Resources Using Enhanced Pedagogical Techniques |
| ID_Doc |
37538 |
| Authors |
Naqvi, N; Rehman, SU; Islam, MZ |
| Title |
A Hyperconnected Smart City Framework: Digital Resources Using Enhanced Pedagogical Techniques |
| Year |
2020 |
| Published |
|
| DOI |
10.3127/ajis.v24i0.2531 |
| Abstract |
Recent technological advancements have given rise to the concept of hyper-connected smart cities being adopted around the world. These cities aspire to achieve better outcomes for citizens by improving the quality of service delivery, information sharing, and creating a sustainable environment. A smart city comprises of a network of interconnected devices also known as IoT (Internet of Things), which captures data and transmits it to a platform for analysis. This data covers a variety of information produced in large volumes also known as Big Data. From data capture to processing and storage, there are several stages where a breach in security and privacy could result in catastrophic impacts. Presently there is a gap in the centralization of knowledge to implement smart city services with a secure architecture. To bridge this gap, we present a framework that highlights challenges within the smart city applications and synthesizes the techniques feasible to solve them. Additionally, we analyse the impact of a potential breach on smart city applications and state-of-the-art architectures available. Furthermore, we identify the stakeholders who may have an interest in learning about the relationships between the significant aspects of a smart city. We demonstrate these relationships through force-directed network diagrams. They will help raise the awareness amongst the stakeholders for planning the development of a smart city. To complement our framework, we designed web-based interactive resources that are available from http://ausdigitech.com/smartcity/ |
| Author Keywords |
Smart Cities; Privacy; Security; IoT; Big Data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000592185200021 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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