Internet of Things Application for Intelligent Cities

Author(s):  
Wissam Abbass ◽  
Amine Baina ◽  
Mostafa Bellafkih

The rapid growth of the world's population is placing a huge strain on the existing infrastructures. As a quest for accommodating this growth, interest is turned to the internet of things (IoT). In fact, the IoT is significantly improving today's quality of life by innovating the provided services and enhancing communication and interaction. Furthermore, it has also empowered real-time decision making by introducing dynamic services for innovative traffic handling, energy-efficient infrastructure saving, and public safety ensuring. However, IoT applications for smart cities is still a major issue as it lacks assuring privacy and security within provided services. In this chapter, the authors pinpoint IoT's security risk assessment challenges and examine its critical influence on smart cities. Additionally, they highlight the key aspects characterizing a smart city which also represent the critical assets requiring security risk assessment. Moreover, they discuss the resulting issues and their related countermeasures.

2021 ◽  
Vol 17 (3) ◽  
pp. 1-23
Author(s):  
Ning Chen ◽  
Tie Qiu ◽  
Mahmoud Daneshmand ◽  
Dapeng Oliver Wu

The Internet of Things (IoT) has been extensively deployed in smart cities. However, with the expanding scale of networking, the failure of some nodes in the network severely affects the communication capacity of IoT applications. Therefore, researchers pay attention to improving communication capacity caused by network failures for applications that require high quality of services (QoS). Furthermore, the robustness of network topology is an important metric to measure the network communication capacity and the ability to resist the cyber-attacks induced by some failed nodes. While some algorithms have been proposed to enhance the robustness of IoT topologies, they are characterized by large computation overhead, and lacking a lightweight topology optimization model. To address this problem, we first propose a novel robustness optimization using evolution learning (ROEL) with a neural network. ROEL dynamically optimizes the IoT topology and intelligently prospects the robust degree in the process of evolutionary optimization. The experimental results demonstrate that ROEL can represent the evolutionary process of IoT topologies, and the prediction accuracy of network robustness is satisfactory with a small error ratio. Our algorithm has a better tolerance capacity in terms of resistance to random attacks and malicious attacks compared with other algorithms.


2020 ◽  
Vol 43 (338) ◽  
pp. 27-34
Author(s):  
Lasma Licite-Kurbe ◽  
Athul Chandramohan

AbstractThe Internet of Things (IoT) is a computing concept that describes the idea of everyday physical objects being connected to the Internet and being able to identify themselves to other devices, and day by day it becomes popular in everyday life as well as in entrepreneurship. The IoT covers broad areas, including manufacturing, the health sector, agriculture, smart cities, security and emergencies among many others. The market for the industrial IoT is estimated to surpass 107 billion euros by 2021 and reach a compound annual growth rate of 7.3% as of 2020. The IoT makes an impact on all industries and provides benefits for various areas of business; however, business may be faced with some risks as well. The research aim is to analyse the benefits and risks of the IoT in entrepreneurship. The descriptive method, analysis and synthesis, the induction and deduction methods were used to achieve the aim. The research has revealed that the IoT can provide several opportunities for business in all fields of operations – marketing, logistics, accounting and human resource management. However, businesses may be faced with some challenges related to privacy and security, processing, analysis and management of data, as well as monitoring and sensing.


2020 ◽  
Vol 8 (6) ◽  
pp. 3892-3895

Internet of Things network today naturally is one of the huge quantities of devices from sensors linked through the communication framework to give value added service to the society and mankind. That allows equipment to be connected at anytime with anything rather using network and service. By 2020 there will be 50 to 100 billion devices connected to Internet and will generate heavy data that is to be analyzed for knowledge mining is a forecast. The data collected from individual devices of IoT is not going to give sufficient information to perform any type of analysis like disaster management, sentiment analysis, and smart cities and on surveillance. Privacy and Security related research increasing from last few years. IoT generated data is very huge, and the existing mechanisms like k- anonymity, l-diversity and differential privacy were not able to address these personal privacy issues because the Internet of Things Era is more vulnerable than the Internet Era [10][20]. To solve the personal privacy related problems researchers and IT professionals have to pay more attention to derive policies and to address the key issues of personal privacy preservation, so the utility and trade off will be increased to the Internet of Things applications. Personal Privacy Preserving Data Publication (PPPDP) is the area where the problems are identified and fixed in this IoT Era to ensure better personal privacy.


2020 ◽  
Vol 14 (2) ◽  
pp. 185-195
Author(s):  
Ricardo Alirio González Bustamante ◽  
Roberto Ferro Escobar ◽  
Harold Vacca González

The use of the Internet has Reached a point in the world in Which it has Become essential in everyday life, the need to Have information at hand in the shortest possible time has generated a technological revolution That incurs the constant connection to this tool, from our Personal life to the same objects That we use in daily life, creating a need to check what surrounds us to Improve our quality of life, reason for the birth of the Internet of Things (IoT, for acronym in English), as well as the convergence of our environment through the creation with Technology of smart cities (Smart City in English). In view of the above, this article addresses concepts about the future of smart cities in collaboration with the Internet of things, the advantages and Disadvantages of these, their comparison, reception, adaptability.


2020 ◽  
Vol 12 (10) ◽  
pp. 162
Author(s):  
William Villegas-Ch ◽  
Xavier Palacios-Pacheco ◽  
Milton Román-Cañizares

Currently, there are several emerging technologies that seek to improve quality of life. To achieve this, it is important to establish the various technologies’ fields of action and to determine which technology meets the conditions established by the environment in which it is designed to operate in order to satisfy the needs of society. One type of environment is the university campus. This particular environment is conducive to the development and testing of technological innovations that might later be replicated in larger environments such as smart cities. The technology that has experienced the greatest development and introduction of applications is the Internet of Things. The wide variety of available devices and the wide reach of the Internet have become ideal parameters for the application of the Internet of Things in areas that previously required the work of people. The Internet of Things is seen as an assistant to, or a substitute for, processes that are generally routine and which require the effort of one or more people. This work focuses specifically on processes to improve administrative management in a university through the use of the Internet of Things.


2017 ◽  
Vol 19 (5) ◽  
pp. 20-26 ◽  
Author(s):  
Jason R.C. Nurse ◽  
Sadie Creese ◽  
David De Roure

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