Security and Privacy in Smart City Applications: Challenges and Solutions

By Kuan Zhang, Jianbing Ni, Kan Yang, Xiaohui Liang, Ju Ren, Xuemin Shen. IEEE Communications Magazine, 2017

538 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/c2d9225ca2f6db43acc9a1b7540262befa80b0dc

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Citations in the corpus

A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “This includes the smart cities [60], entertainment industry, education institutions, working environments, and healthcare (Fig.”
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “according to different roles of fog nodes, which contribute to the development of smart city [68], and its critical components, including smart transportation, smart grid, smart e-healthcare and other related aspects.”
Security for 5G and Beyond (2019, background): “technologies related to smart cities along with the corresponding big data challenges will make privacy one of the topmost concern for users in the coming future [392], [393].”
A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective (2019, background): “To protect data during processing [203], advanced encryption schemes, such as fully homomorphic encryption (FHE), have been proposed.”
Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, background): “Several privacy and security issues solutions and challenges have been discussed for different smart city applications in [120], [121].”
IoT in Smart Cities: A Survey of Technologies, Practices and Challenges (2021, background): “Consequently, security and privacy in Smart Cities is of great importance and has been of high interest to researchers [46,222–226].”
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research (2022, background): “2) XAI FOR CYBER SECURITY OF SMART CITIES As increasingly data-driven artificial intelligence services such as IoT, blockchain, and DL are incorporated into contemporary smart cities, smart cities are able to offer intelligent services for energy, transportation, healthcare, and entertainment to bot”
Federated Learning in Smart City Sensing: Challenges and Opportunities (2020, unknown): “Therefore, smart security solutions are highly desired [161].”
Blockchain-Based Decentralized Trust Management in Vehicular Networks (2019, background): “help vehicles timely be aware of trafﬁc situations and hence improve the transportation safety and efﬁciency [6].”