Emerging Technologies for Sustainable Smart City Network Security: Issues, Challenges, and Countermeasures

Jeong Hoon Jo, Pradip Kumar Sharma, Jose Costa Sapalo Sicato and Jong Hyuk Park
Volume: 15, No: 4, Page: 765 ~ 784, Year: 2019
10.3745/JIPS.03.0124
Keywords: Blockchain, Edge Computing, Internet of Things, Network Security, Smart City
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Abstract
The smart city is one of the most promising, prominent, and challenging applications of the Internet of Things (IoT). Smart cities rely on everything connected to each other. This in turn depends heavily on technology. Technology literacy is essential to transform a city into a smart, connected, sustainable, and resilient city where information is not only available but can also be found. The smart city vision combines emerging technologies such as edge computing, blockchain, artificial intelligence, etc. to create a sustainable ecosystem by dramatically reducing latency, bandwidth usage, and power consumption of smart devices running various applications. In this research, we present a comprehensive survey of emerging technologies for a sustainable smart city network. We discuss the requirements and challenges for a sustainable network and the role of heterogeneous integrated technologies in providing smart city solutions. We also discuss different network architectures from a security perspective to create an ecosystem. Finally, we discuss the open issues and challenges of the smart city network and provide suitable recommendations to resolve them.

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Cite this article
IEEE Style
J. H. Jo, P. K. Sharma, J. C. S. Sicato and J. H. Park, "Emerging Technologies for Sustainable Smart City Network Security: Issues, Challenges, and Countermeasures," Journal of Information Processing Systems, vol. 15, no. 4, pp. 765~784, 2019. DOI: 10.3745/JIPS.03.0124.

ACM Style
Jeong Hoon Jo, Pradip Kumar Sharma, Jose Costa Sapalo Sicato, and Jong Hyuk Park. 2019. Emerging Technologies for Sustainable Smart City Network Security: Issues, Challenges, and Countermeasures, Journal of Information Processing Systems, 15, 4, (2019), 765~784. DOI: 10.3745/JIPS.03.0124.