Content-Based Publish/Subscribe Communication Model between IoT Devices in Smart City Environment

2019 ◽  
Author(s):  
Fulya Ozturk ◽  
Ayse Meliha Ozdemir
Keyword(s):  
Smart City ◽  
Communication Model ◽  
City Environment ◽  
Iot Devices

scholarly journals Data Exchange Interoperability in IoT Ecosystem for Smart Parking and EV Charging

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4404 ◽  
Author(s):  
Anastasiia Karpenko ◽  
Tuomas Kinnunen ◽  
Manik Madhikermi ◽  
Jeremy Robert ◽  
Kary Främling ◽  
...  
Keyword(s):  
Smart City ◽  
Mobile Application ◽  
Data Exchange ◽  
Communication Model ◽  
Horizon 2020 ◽  
Domain Specific ◽  
Iot Applications ◽  
Smart Mobility ◽  
Iot Devices ◽  
Ev Charging

Many domains are trying to integrate with the Internet of Things (IoT) ecosystem, such as public administrations starting smart city initiatives all over the world. Cities are becoming smart in many ways: smart mobility, smart buildings, smart environment and so on. However, the problem of non-interoperability in the IoT hinders the seamless communication between all kinds of IoT devices. Different domain specific IoT applications use different interoperability standards. These standards are usually not interoperable with each other. IoT applications and ecosystems therefore tend to use a vertical communication model that does not allow data sharing horizontally across different IoT ecosystems. In 2014, The Open Group published two domain-independent IoT messaging standards, O-MI and O-DF, aiming to solve the interoperability problem. In this article we describe the practical use of O-MI/O-DF standards for reaching interoperability in a mobile application for the smart city context, in particular for the Smart Mobility domain, electric vehicle (EV) charging case study. The proof-of-concept of the smart EV charging ecosystem with mobile application user interface was developed as a part of an EU (Horizon 2020) Project bIoTope.

scholarly journals Internet of Things in Smart City Environments

2019 ◽  
Vol 8 (3) ◽  
pp. 7917-7921
Keyword(s):  
Network Security ◽  
Internet Of Things ◽  
Smart City ◽  
Paradigm Shift ◽  
Building Blocks ◽  
Smart Devices ◽  
The Internet ◽  
Iot Security ◽  
City Environment ◽  
Iot Devices

With the advent of smart devices, a huge paradigm shift is observed in the way the users define service quality. Further, these devices or Internet of Things (IoT) devices as they are generally addressed, have acted as catalyst for comfort and connectivity and are building blocks of Smart City environment. With limited thought related to security is involved during the deployment of such devices, they offer a dangerous environment of opportunity to the attackers from the internet; which not only jeopardize network security, bus also the privacy of the users. Hence, it is of utmost importance to address the security concerns in smart city environment. This paper attempts to study the current IoT technologies deployed in a smart-city environment along with its vulnerabilities and possible solutions to improve IoT security. An approach is made to study the various vulnerabilities available with the IoT devices deployed in the smart city setup, various motivation of an attacker and the analyse some of the recent attacks witnessed by IoT devices. A few possible solutions for mitigation are suggested in this paper. The findings of the paper can be implemented in any network of IoT devices

scholarly journals Internet Security Issues in Smart City Environment

2020 ◽  
Vol 1 (1) ◽  
pp. 14-30
Author(s):  
Zohaib Maqbool ◽  
Raja Habib ◽  
Tariq Aziz ◽  
Asma Maqbool ◽  
Oriba Altaf
Keyword(s):  
Smart City ◽  
Recent Literature ◽  
Denial Of Service ◽  
Internet Security ◽  
Cyber Attacks ◽  
Ddos Attacks ◽  
Security Issues ◽  
City Environment ◽  
Iot Devices ◽  
And Control

The invention of IoT devices brings innovation to solve and control house hold devices. The demand of IoT devices like Google and Amazon Echo family has increased after their invention. New inventions may leave a lot of security flaws that must be resolved or addressed. Invention of IoT devices especially devices made for household become, pre vulnerable to many cyber-attacks leading to the leak of privacy. Recent literature revealed that IoT devices have both positive and negative sides. Leakage of privacy and protection lea people into troubles due to the Denial of Service (DDoS) attacks.

scholarly journals Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

2020 ◽  
Vol 12 (14) ◽  
pp. 5595 ◽  
Author(s):  
Ana Lavalle ◽  
Miguel A. Teruel ◽  
Alejandro Maté ◽  
Juan Trujillo
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Fire Department ◽  
Heterogeneous Data ◽  
Fire Extinguishing ◽  
Heterogeneous Data Sources ◽  
Iot Devices ◽  
Visualization Techniques ◽  
The Impact

Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.

scholarly journals Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities

2021 ◽  
Vol 13 (9) ◽  
pp. 4716
Author(s):  
Moustafa M. Nasralla
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Virtual Reality ◽  
Time Series Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Rehabilitation Services ◽  
Simulation Scenario ◽  
Common Problems ◽  
Iot Devices

To develop sustainable rehabilitation systems, these should consider common problems on IoT devices such as low battery, connection issues and hardware damages. These should be able to rapidly detect any kind of problem incorporating the capacity of warning users about failures without interrupting rehabilitation services. A novel methodology is presented to guide the design and development of sustainable rehabilitation systems focusing on communication and networking among IoT devices in rehabilitation systems with virtual smart cities by using time series analysis for identifying malfunctioning IoT devices. This work is illustrated in a realistic rehabilitation simulation scenario in a virtual smart city using machine learning on time series for identifying and anticipating failures for supporting sustainability.

scholarly journals Ciphertext-policy attribute-based encryption with hidden sensitive policy from keyword search techniques in smart city

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Fei Meng ◽  
Leixiao Cheng ◽  
Mingqiang Wang
Keyword(s):  
Smart City ◽  
Keyword Search ◽  
Sensitive Information ◽  
Security Model ◽  
Computational Overhead ◽  
Diffie Hellman ◽  
Attribute Based Encryption ◽  
Iot Devices ◽  
Ciphertext Policy ◽  
Access Policies

AbstractCountless data generated in Smart city may contain private and sensitive information and should be protected from unauthorized users. The data can be encrypted by Attribute-based encryption (CP-ABE), which allows encrypter to specify access policies in the ciphertext. But, traditional CP-ABE schemes are limited because of two shortages: the access policy is public i.e., privacy exposed; the decryption time is linear with the complexity of policy, i.e., huge computational overheads. In this work, we introduce a novel method to protect the privacy of CP-ABE scheme by keyword search (KS) techniques. In detail, we define a new security model called chosen sensitive policy security: two access policies embedded in the ciphertext, one is public and the other is sensitive and hidden. If user's attributes don't satisfy the public policy, he/she cannot get any information (attribute name and its values) of the hidden one. Previous CP-ABE schemes with hidden policy only work on the “AND-gate” access structure or their ciphertext size or decryption time maybe super-polynomial. Our scheme is more expressive and compact. Since, IoT devices spread all over the smart city, so the computational overhead of encryption and decryption can be shifted to third parties. Therefore, our scheme is more applicable to resource-constrained users. We prove our scheme to be selective secure under the decisional bilinear Diffie-Hellman (DBDH) assumption.

Significance of Building Information Modeling in Modern Project Management for Sustainable Smart City Applications

2021 ◽  
pp. 2141007
Author(s):  
Mengyi Lian ◽  
Xiaowei Liu
Keyword(s):  
Project Management ◽  
Internet Of Things ◽  
Smart City ◽  
Building Information Modeling ◽  
Information Modeling ◽  
The Internet ◽  
City Environment ◽  
Modern Project ◽  
Building Information ◽  
The Internet Of Things

Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.

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