scholarly journals Modeling of Trusted Public Emergency Services for Smart Cities Using Blockchain and IoT-based Cognitive Networks

2021 ◽  
Author(s):  
Bhawana Bhawana ◽  
Sushil Kumar
Keyword(s):  
Smart City ◽  
Queuing Theory ◽  
Smart Home ◽  
Emergency Service ◽  
Smart Cities ◽  
Distributed Storage ◽  
Cognitive Networks ◽  
Smart Healthcare ◽  
Public Emergency ◽  
Iot Devices

Abstract The Internet of Things (IoT) recently gained attention from the last few years due to various smart city applications deployment. The existing literature discusses different public emergency service (PES) aspects from smart-healthcare to smart-home automation. However, less work explores for the smart-fire-brigade system. The PESs require high computation, timely service fulfillment, service transparency, and trust, which are difficult to achieve through a centralized system. In recent years, blockchain technology has gained enormous popularity for immutable data management that ensures transparency, reliability, and data integrity using distributed storage. This paper presents a blockchain based model for secure and trusted public emergency service in IoT-enabled smart cities (BMSTP) to handle the PES requests in real-time fairly. An edge compute server (ECS) is introduced to enhance data processing speed and local data storage. Simultaneously, a queuing theory model is used to process PES requests quickly. The ECS manages an access control list (ACL) for smart-home IoT devices to protect against the illegal placement of any new IoT devices near smart-home to misguiding public emergency service departments (PESDs). Further, a reputation model is designed for PESDs to scale their service quality. We explored the BMSTP for smart-homes placed under different sub-areas of a smart-city. The experiment results show the proposed system model is efficient in scheduling the smart-home PES requests to an appropriate PESD and minimizing the delay to reaching the smart-home location.

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 A Parallel Meta-Heuristic Approach to Reduce Vehicle Travel Time in Smart Cities

2020 ◽  
Author(s):  
Hector Rico-Garcia ◽  
Jose-Luis Sanchez-Romero ◽  
Antonio Jimeno-Morenilla ◽  
Hector Migallon-Gomis
Keyword(s):  
Travel Time ◽  
Smart City ◽  
Smart Cities ◽  
Travelling Salesman Problem ◽  
Urban Environments ◽  
Departure Point ◽  
Classic Problem ◽  
Iot Devices ◽  
Vehicle Travel Time ◽  
Gpu Architecture

The development of the smart city concept and the inhabitants’ need to reduce travel time, as well as society’s awareness of the reduction of fuel consumption and respect for the environment, lead to a new approach to the classic problem of the Travelling Salesman Problem (TSP) applied to urban environments. This problem can be formulated as “Given a list of geographic points and the distances between each pair of points, what is the shortest possible route that visits each point and returns to the departure point?” Nowadays, with the development of IoT devices and the high sensoring capabilities, a large amount of data and measurements are available, allowing researchers to model accurately the routes to choose. In this work, the purpose is to give solution to the TSP in smart city environments using a modified version of the metaheuristic optimization algorithm TLBO (Teacher Learner Based Optimization). In addition, to improve performance, the solution is implemented using a parallel GPU architecture, specifically a CUDA implementation.

Systematic literature review on the security challenges of blockchain in IoT-based smart cities

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhihao Yu ◽  
Liang Song ◽  
Linhua Jiang ◽  
Omid Khold Sharafi
Keyword(s):  
Literature Review ◽  
Smart City ◽  
Smart Cities ◽  
Distributed Storage ◽  
Resource Planning ◽  
Academic Community ◽  
Security And Privacy ◽  
Content Type ◽  
Security Issues ◽  
Security Challenges

Purpose Security is the most important issue in Internet of Things (IoT)-based smart cities and blockchain (BC). So, the present paper aims to detect and organize the literature regarding security in the IoT-based smart cities and BC context. It also proposes an agenda for future research. Therefore, the authors did a statistical review of security in IoT and BC in smart cities. The present investigation aims to determine the principal challenges and disturbances in IoT because of the BC adoption, the central BC applications in IoT-based smart cities and the BC future in IoT-based smart cities. Design/methodology/approach IoT) has a notable influence on modernizing and transforming the society and industry for knowledge digitizing. Therefore, it may be perceived and operated in real time. The IoT is undergoing exponential development in industry and investigation. Still, it contains some security and privacy susceptibilities. Naturally, the research community pays attention to the security and privacy of the IoT. Also, the academic community has put a significant focus on BC as a new security project. In the present paper, the significant mechanisms and investigations in BC ground have been checked out systematically because of the significance of security in the IoT and BC in smart cities. Electronic databases were used to search for keywords. Totally, based on different filters, 131 papers have been gained, and 17 related articles have been obtained and analyzed. The security mechanisms of BC in IoT-based smart cities have been ranked into three main categories as follows, smart health care, smart home and smart agriculture. Findings The findings showed that BC’s distinctive technical aspects might impressively find a solution for privacy and security problems encountering the IoT-based smart cities development. They also supply distributed storage, transparency, trust and other IoT support to form a valid, impressive and secure distributed IoT network and provide a beneficial guarantee for IoT-based smart city users’ security and privacy. Research limitations/implications The present investigation aims to be comprehensive, but some restrictions were also observed. Owing to the use of some filters for selecting the original papers, some complete works may be excluded. Besides, inspecting the total investigations on the security topic in BC and the IoT-based smart cities is infeasible. Albeit, the authors attempt to introduce a complete inspection of the security challenges in BC and the IoT-based smart cities. BC includes significant progress and innovation in the IoT-based smart cities’ security domain as new technology. Still, it contains some deficiencies as well. Investigators actively encounter the challenges and bring up persistent innovation and inspection of related technologies in the vision of the issues available in diverse application scenarios. Practical implications The use of BC technology in finding a solution for the security issues of the IoT-based smart cities is a research hotspot. There is numerable literature with data and theoretical support despite the suggestion of numerous relevant opinions. Therefore, this paper offers insights into how findings may guide practitioners and researchers in developing appropriate security systems dependent upon the features of IoT-based smart city systems and BC. This paper may also stimulate further investigation on the challenge of security in BC and IoT-based smart cities. The outcomes will be of great value for scholars and may supply sights into future investigation grounds in the present field. Originality/value As the authors state according to their knowledge, it is the first work using security challenges on BC and IoT-based smart cities. The literature review shows that few papers discuss how solving security issues in the IoT-based smart cities can benefit from the BC. The investigation suggests a literature review on the topic, recommending some thoughts on using security tools in the IoT-based smart cities. The present investigation helps organizations plan to integrate IoT and BC to detect the areas to focus. It also assists in better resource planning for the successful execution of smart technologies in their supply chains.

The Role of AI-Based Integrated Physical Security Governance for Optimizing IoT Devices Connectivity in Smart Cities

2021 ◽  
pp. 289-309
Author(s):  
Rajan R. ◽  
Venkata Subramanian Dayanandan ◽  
Shankar P. ◽  
Ranganath Tngk
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Security Threats ◽  
Security Measures ◽  
Physical Security ◽  
Security Technology ◽  
Security Controls ◽  
World Class ◽  
Iot Devices

A smart city aims at developing an ecosystem wherein the citizens will have instant access to amenities required for a healthy and safe living. Since the mission of smart city is to develop and integrate many facilities, it is envisaged that there is a need for making the information available instantly for right use of such infrastructure. So, there exists a need to design and implement a world-class physical security measures which acts as a bellwether to protect people life from physical security threats. It is a myth that if placing adequate number of cameras alone would enhance physical security controls in smart cities. There is a need for designing and building comprehensive physical security controls, based on the principles of “layered defense-in-depth,” which integrates all aspects of physical security controls. This chapter will review presence of existing physical security technology controls for smart cities in line with the known security threats and propose the need for an AI-enabled physical security premise.

scholarly journals Towards Secure and Privacy-Preserving IoT Enabled Smart Home: Architecture and Experimental Study

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6131
Author(s):  
Mamun Abu-Tair ◽  
Soufiene Djahel ◽  
Philip Perry ◽  
Bryan Scotney ◽  
Unsub Zia ◽  
...  
Keyword(s):  
Experimental Study ◽  
Smart Home ◽  
Privacy Preservation ◽  
Smart Cities ◽  
Security And Privacy ◽  
Test Cases ◽  
Security Threats ◽  
Hardware Implementations ◽  
Cryptographic Algorithms ◽  
Iot Devices

Internet of Things (IoT) technology is increasingly pervasive in all aspects of our life and its usage is anticipated to significantly increase in future Smart Cities to support their myriad of revolutionary applications. This paper introduces a new architecture that can support several IoT-enabled smart home use cases, with a specified level of security and privacy preservation. The security threats that may target such an architecture are highlighted along with the cryptographic algorithms that can prevent them. An experimental study is performed to provide more insights about the suitability of several lightweight cryptographic algorithms for use in securing the constrained IoT devices used in the proposed architecture. The obtained results showed that many modern lightweight symmetric cryptography algorithms, as CLEFIA and TRIVIUM, are optimized for hardware implementations and can consume up to 10 times more energy than the legacy techniques when they are implemented in software. Moreover, the experiments results highlight that CLEFIA significantly outperforms TRIVIUM under all of the investigated test cases, and the latter performs 100 times worse than the legacy cryptographic algorithms tested.

scholarly journals Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Saeed H. Alsamhi ◽  
Faris A. Almalki ◽  
Hatem Al-Dois ◽  
Soufiene Ben Othman ◽  
Jahan Hassan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Smart Cities ◽  
Dynamic Environments ◽  
Iot Applications ◽  
Smart Healthcare ◽  
Intelligent Management ◽  
Reduce Energy Consumption ◽  
Iot Devices ◽  
Shed Light

The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and introduce vulnerabilities. Intelligent management of IoT is required to maintain connectivity, improve Quality of Service (QoS), and reduce energy consumption in real time within dynamic environments. Machine Learning (ML) plays a pivotal role in QoS enhancement, connectivity, and provisioning of smart applications. Therefore, this survey focuses on the use of ML for enhancing IoT applications. We also provide an in-depth overview of the variety of IoT applications that can be enhanced using ML, such as smart cities, smart homes, and smart healthcare. For each application, we introduce the advantages of using ML. Finally, we shed light on ML challenges for future IoT research, and we review the current literature based on existing works.

scholarly journals Study and Research on IoT and Big Data Analysis for Smart City Development

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Haixia Yu ◽  
Ion Cosmin Mihai ◽  
Anand Srivastava
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Data Generation ◽  
City Development ◽  
Smart Meters ◽  
Smart Systems ◽  
Smart Parking ◽  
Iot Devices ◽  
Time Required

With the development of smart meters, like Internet of Things (IoT), various kinds of electronic devices are equipped with each smart city. The several aspects of smart cities are accessible and these technologies enable us to be smarter. The utilization of the smart systems is very quick and valuable source to fulfill the requirement of city development. There are interconnection between various IoT devices and huge amount of data is generated when they communicate each other over the internet. It is very challenging task to effectively integrate the IoT services and processing big data. Therefore, a system for smart city development is proposed in this paper which is based on the IoT utilizing the analytics of big data. A complete system is proposed which includes various types of IoT-based smart systems like smart home, vehicular networking, and smart parking etc., for data generation. The Hadoop ecosystem is utilized for the implementation of the proposed system. The evaluation of the system is done in terms of throughput and processing time. The proposed technique is 20% to 65% better than the existing techniques in terms of time required for processing. In terms of obtained throughput, the proposed technique outperforms the existing technique by 20% to 60%.

scholarly journals Internet of Things for the Development of Smart Cities

2019 ◽  
Vol 8 (4) ◽  
pp. 9543-9547
Keyword(s):  
Internet Of Things ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Smart City ◽  
Smart Home ◽  
Smart Cities ◽  
City Development ◽  
The Public ◽  
Innovative Solution ◽  
Energy Efficient Building

Internet of things plays an important role to make smart in all the areas like smart city, smart home etc [1]. It is used in more efficient water supply, an innovative solution for traffic congestion, to make reliable public transportation, improved the public safety, energy efficient building, Vehicle smart security system etc [4]. While the average cost for basic items is going up, there is a developing concentration to include innovation to bring down those costs for smart city development. In the following chapter will discussed the few innovation for the smart city development.

scholarly journals Silicon Valley Imperialists Create New Model Villages as Smart Cities in Their Own Image

2020 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Philip Cooke
Keyword(s):  
Digital Media ◽  
Smart City ◽  
Smart Home ◽  
City Planning ◽  
Smart Cities ◽  
Sensitive Information ◽  
Privacy And Security ◽  
New Model ◽  
Parent Firm ◽  
Corporate Profits

In her study of ‘Surveillance Capitalism’, Shoshana Zuboff cites Google’s parent firm Alphabet’s legal customer-purchase agreement for the parent firm’s Nest thermostats. These impose ‘oppressive privacy and security consequences’ requiring sensitive information to be shared through ‘Internet-of-Things’ (IoT) networks with other domestic and external devices, unnamed functionaries and various third parties. This is for data harvesting, analytics, processing, manipulation and transformation through digital re-sale to the same and other consumers in the form of unwanted, targeted advertising. The point of this identity ‘rendition’ is to massively augment corporate profits. It is but a short step from trapping the unwitting consumer in a ‘smart home’ to planning a similarly mediated ‘smart city’ aimed at further massively augmenting corporate profits. This is happening, as founders of digital media from Google, Facebook, Microsoft, Amazon and Tesla either commission or become beneficiaries of ‘smart city’ planning. However, there is evidence that such imperiousness is increasingly countered by emerging democratic critique of these new ‘model villages’ or ‘company towns’.

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