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.
Highlights
55% population of the world is in the cities that are expected to grow up to 67% by the year 2050 [1], [2]
This paper has envisioned the vital role of safety and security in Internet of Things (IoT)-enabled data computation and communication to achieve safe and secure decisions
The data generated by IoT sensors exploit the association between various features of data and enables the meaning of a safe city
Summary
55% population of the world is in the cities that are expected to grow up to 67% by the year 2050 [1], [2]. A huge number of real-world physical devices in a ubiquitous environment will generate voluminous data containing a variety of information that needs new forms of computation to facilitate enhanced decision making. A number of proposals are found to process and analyze the data generated by heterogeneous devices to perform efficient decision making. The solutions for these ubiquitous devices in the marketplace lack the secured characteristics and are exposed to an extensive kind of adversarial attacks [12]. We propose a safe and secured data management design for smart city planning using ubiquitous computing.
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