A Hyperconnected Smart City Framework

Digital Resources Using Enhanced Pedagogical Techniques


  • Naureen Naqvi Charles Sturt University
  • Sabih ur Rehman Charles Sturt University
  • Zahidul Islam Charles Sturt University




Smart Cities, Privacy in Smart City, Security in Smart City, IoT, Big Data, Internet of Things


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 analyze 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 Biographies

Naureen Naqvi, Charles Sturt University

Naureen Naqvi received the Bachelors of Electronics & Electrical Engineering and Masters of Computer Systems Engineering with distinction from the NED University of Engineering & Technology, Pakistan. She has also received the Bachelors of Computing (Honours) degree from Charles Sturt University, Australia, proposing a framework for Privacy and Security Preserving for Hyperconnected Connected Smart Cities. She is currently pursuing her Ph.D. degree in Data Science from the School of Computing & Mathematics at Charles Sturt University. In her professional career, she has earned certifications on Lean Six Sigma Black Belt Process Excellence, Prince2 Project Management, Agile Coaching, AWS & Google stack. She has secured three Innovation Patents with the IP Australia, the Department of Industry, Innovation and Science. She has extensive experience in delivering large-scale digital transformation programs across various industries such as Oil & Gas, Cloud Service Provider, Aviation & Aerospace, Banking & Financial Services, Energy, Utilities & Chemicals, Education, and for the Western Australian State Government. Her research interests include complex innovation product and service design across emerging technologies with a focus on the Internet of Things (IoT), Smart Cities, Big Data, Artificial Intelligence, Blockchain, Data Science and Machine Learning. She has co-founded multiple start-ups aimed at various social initiatives within Australia and Pakistan. She has keen interest in mentoring young women and inspire them to advance in STEM.

Sabih ur Rehman, Charles Sturt University

Sabih ur Rehman (Member, IEEE) received the bachelor’s degree (Hons.) in electronics and telecommunication engineering from the University of South Australia, Adelaide, and the Ph.D. degree in the area of wireless sensors networks from Charles Sturt University, Australia. He is currently a Senior Lecturer and the Course Director with the School of Computing and Mathematics, Charles Sturt University. He has extensive experience in delivering large scale networking solutions along with providing system administration, security and data integration services. His research interests include wireless communication, network planning, routing and switching, and information security. His current research interests include the Internet of Things (IoT), robotics and big data analytics, especially in the domains of intelligent transport systems, environmental sustainability, e-health and precision agriculture, with the aim to positively influence social, economic, and environmental sustainability of communities in rural Australia via digitally enabled solutions. He regularly publishes his research and serves as a Reviewer for a number of respected journals and conferences. He is a member of Australian Computer Society (ACS). He was a recipient of the Competitive Scholarship from Charles Sturt University during his Ph.D. degree. 

Zahidul Islam, Charles Sturt University

Md Zahidul Islam (also known as Zahid Islam) is an Associate Professor in Computer Science at Charles Sturt University, Australia. His main research interests include data mining algorithms for classification (through the decision forests), clustering, data pre-processing and data cleansing. He is also interested in privacy issues related to data mining such as privacy-preserving data publishing and mining, and privacy issues for online social network site users. For more information please visit https://bjbs.csu.edu.au/schools/computing-and-mathematics/staff/profiles/academic-staff/zahidul-islam


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How to Cite

Naqvi, N., ur Rehman, S., & Islam, Z. (2020). A Hyperconnected Smart City Framework: Digital Resources Using Enhanced Pedagogical Techniques. Australasian Journal of Information Systems, 24. https://doi.org/10.3127/ajis.v24i0.2531



Research Articles