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Smart city article details

Title	Safecity: Toward Safe And Secured Data Management Design For Iot-Enabled Smart City Planning
ID_Doc	47203
Authors	Zhang, H; Babar, M; Tariq, MU; Jan, MA; Menon, VG; Li, XW
Year	2020
Published	IEEE ACCESS, 8
DOI	http://dx.doi.org/10.1109/ACCESS.2020.3014622
Abstract	The interaction among different Internet of Things (IoT) sensors and devices become massive and insecure over the Internet as we probe to smart cities. These heterogeneous devices produce an enormous amount of data that is vulnerable to various malicious threats. The generated data need to be processed and analyzed in a secure fashion to make smart decisions. The smart urban planning is becoming a reality through the mass information generated by the Internet of Things (IoT). This paper exhibits a novel architecture, SafeCity, that limelight the ecosystem of smart cities consists of cameras, sensors, and other real-world physical devices. SafeCity is a three-layer architecture, i.e., a data security layer, a data computational layer, and a decision-making layer. At the first layer, payload-based symmetric encryption is used to secure the data from intruders by exchanging only the authentic data among the physical devices. The second layer is used for the computation of secured data. Finally, the third layer extracts visions from data. The secured exchange of data is ensured by using Raspberry Pi boards while the computation of data is tested on trustworthy datasets, using the Hadoop platform. The assessments disclose that SafeCity presents precious insights into a secured smart city in the context of sensors based IoT environment.
Author Keywords	Smart cities; Intelligent sensors; Big Data; Internet of Things; Security; Loading; Internet of Things; smart city; symmetric encryption; data management design; data analytics; data mining

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