Privacy Preserving in Smart Cities Using Various Computing Technologies

2022 ◽  
pp. 47-54
Author(s):  
T. N. Gayathri ◽  
M. Rajasekharababu
Keyword(s):  
Real Time ◽  
Smart Cities ◽  
Privacy Preserving ◽  
Synthetic Dataset ◽  
Smart Environment ◽  
Sensitive Data ◽  
Daily Lives ◽  
Simulation Results ◽  
Iot Devices ◽  
High Possibility

IoT has influenced our daily lives through various applications. The high possibility of sensing and publishing sensitive data in the smart environment leads to significant issues: (1) privacy-preserving and (2) real-time services. Privacy is a complex and a subjective notion as its understanding and perception differ among individuals, hence the observation that current studies lack addressing these challenges. This chapter proposes a new privacy-preserving method for IoT devices in the smart city by leveraging ontology, a data model, at the edge of the network. Based on the simulation results using Protege and Visual Studio on a synthetic dataset, the authors find that the solution provides privacy at real-time while addressing heterogeneity issue so that many IoT devices can afford it. Thus, the proposed solution can be widely used for smart cities.

scholarly journals Mining Iot Data for Next Generation Smart Cities

2019 ◽  
Vol 8 (6) ◽  
pp. 259-262
Keyword(s):  
Real Time ◽  
Crucial Role ◽  
Data Analytics ◽  
Data Science ◽  
Smart Cities ◽  
Classification Algorithms ◽  
Time Data ◽  
New Era ◽  
Real Time Data ◽  
Iot Devices

Convergence of Cloud, IoT, Networking devices and Data science has ignited a new era of smart cities concept all around us. The backbone of any smart city is the underlying infrastructure involving thousands of IoT devices connected together to work in real time. Data Analytics can play a crucial role in gaining valuable insights into the volumes of data generated by these devices. The objective of this paper is to apply some most commonly used classification algorithms to a real time dataset and compare their performance on IoT data. The performance summary of the algorithms under test is also tabulated

Applications of IOT in Smart Cities and Smart Environment

2019 ◽  
pp. 7-17 ◽  
Author(s):  
Keerthivasan G ◽  
Aishwarya G ◽  
Jawahar G ◽  
Muthukumar C
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Smart Homes ◽  
The Internet ◽  
Large Network ◽  
Smart Environment ◽  
Transfer Data ◽  
Ecological Resources ◽  
The World ◽  
Iot Devices

Internet of things is one of the emerging technologies in the world. Through which we can generate a large network among the tiny devices to communicate with each other to develop environmental and ecological resources. Most of the smart technology devices are designed by IoT network of devices. By connecting these devices that help to interact with each other and to collect and transfer data over the internet. The IoT devices working speed and their performance have improved by introducing a device called a sensor. The idea of IoT devices with sensors that sense the data and make smart decisions in the environment. This paper makes it clear about the benefits of IoT devices over technology in the modern environment. The sensors in IoT devices are connected to Wi-Fi, Bluetooth and RFID etc. to collect useful data. By connecting devices over the network, the world will become smart and thus it evolves the smart environment including smart homes, smart buildings and smart cities. It is believed that about 30 billion people in the world will use at least one IoT technology devices by the year 2020. To maintain our environment safe and secure the IoT devices play a major role in several enabling technologies. This paper is to present the applications of IoT in smart cities and the environment and a brief explanation about their uses.

scholarly journals Understanding of RF Cloud Interference Measurement and Modeling

2021 ◽  
Author(s):  
Kaveh Pahlavan
Keyword(s):  
Real Time ◽  
Spectrum Management ◽  
Wireless Devices ◽  
New Paradigm ◽  
Daily Lives ◽  
Wireless Technologies ◽  
Monitoring And Forecasting ◽  
Iot Devices ◽  
Rf Signal ◽  
The Universe

AbstractImportance of spectrum regulation and management was first revealed on May of 1985 after the release of unlicensed ISM bands resulting in emergence of Wi-Fi, Bluetooth and many other wireless technologies that has affected our daily lives by enabling the emergence of the smart world and IoT era. Today, the idea of a liberated spectrum is circulating around, which can potentially direct wireless networking industry into another revolution by enabling a new paradigm in intelligent spectrum regulation and management. The RF signal radiated from IoT devices as well as other wireless technologies create an RF cloud causing co- and cross-interference to each other. Lack of a science and technology for understanding, measurement, and modeling of the RF cloud interference in near real-time results in inefficient utilization of the precious spectrum, a unique natural resource shared among all wireless devices of the universe in frequency, time, and space. Near real time forecasting of the RF cloud interference is essential to pursue the path to the optimal utilization of spectrum and a liberated spectrum management. This paper presents a historical perspective on the evolution of spectrum regulation and management, explains the diversified meanings of interference for different sectors of the wireless industry, and presents a path for implementing a theoretical foundation for interference monitoring and forecasting to enable the emergence of a liberated spectrum industry and a new paradigm in spectrum management and regulations.

scholarly journals Detecting security attacks in cyber-physical systems: a comparison of Mule and WSO2 intelligent IoT architectures

2021 ◽  
Vol 7 ◽  
pp. e787
Author(s):  
José Roldán-Gómez ◽  
Juan Boubeta-Puig ◽  
Gabriela Pachacama-Castillo ◽  
Guadalupe Ortiz ◽  
Jose Luis Martínez
Keyword(s):  
Real Time ◽  
Smart Cities ◽  
Cyber Physical Systems ◽  
Security Attacks ◽  
Physical Systems ◽  
The Real ◽  
Real Time Detection ◽  
Iot Devices ◽  
Definition Of ◽  
The Internet Of Things

The Internet of Things (IoT) paradigm keeps growing, and many different IoT devices, such as smartphones and smart appliances, are extensively used in smart industries and smart cities. The benefits of this paradigm are obvious, but these IoT environments have brought with them new challenges, such as detecting and combating cybersecurity attacks against cyber-physical systems. This paper addresses the real-time detection of security attacks in these IoT systems through the combined used of Machine Learning (ML) techniques and Complex Event Processing (CEP). In this regard, in the past we proposed an intelligent architecture that integrates ML with CEP, and which permits the definition of event patterns for the real-time detection of not only specific IoT security attacks, but also novel attacks that have not previously been defined. Our current concern, and the main objective of this paper, is to ensure that the architecture is not necessarily linked to specific vendor technologies and that it can be implemented with other vendor technologies while maintaining its correct functionality. We also set out to evaluate and compare the performance and benefits of alternative implementations. This is why the proposed architecture has been implemented by using technologies from different vendors: firstly, the Mule Enterprise Service Bus (ESB) together with the Esper CEP engine; and secondly, the WSO2 ESB with the Siddhi CEP engine. Both implementations have been tested in terms of performance and stress, and they are compared and discussed in this paper. The results obtained demonstrate that both implementations are suitable and effective, but also that there are notable differences between them: the Mule-based architecture is faster when the architecture makes use of two message broker topics and compares different types of events, while the WSO2-based one is faster when there is a single topic and one event type, and the system has a heavy workload.

scholarly journals A Conceptual Framework for Intelligent Power Distribution Transformers

2020 ◽  
Vol 9 (4S2) ◽  
pp. 97-99
Keyword(s):  
Conceptual Framework ◽  
Real Time ◽  
Health Monitoring ◽  
Power Supply ◽  
Power Distribution ◽  
Smart Cities ◽  
Distribution Transformers ◽  
Iot Devices ◽  
Reliable Power Supply ◽  
Continuous Power

With the agenda of developing smart cities there is huge demand for continuous power supply. Power distribution transformers play avital role in providing a reliable power supply. Failure of a transformer will lead to interruptions in power supply. Many parameters lead to transformer failures. Health monitoring of transformer using IoT technology may help take proactive maintenance steps instead of reactive maintenance. When we combine IoT with AI it will more effective and IoT devices will take decision on their own. This paper presents a conceptual framework of this concept which makes the IoT devices in the transformers to make real-time decisions with the use of AI.

scholarly journals TrustChain: A Privacy Preserving Blockchain with Edge Computing

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Upul Jayasinghe ◽  
Gyu Myoung Lee ◽  
Áine MacDermott ◽  
Woo Seop Rhee
Keyword(s):  
Real Time ◽  
Personal Data ◽  
Privacy Preserving ◽  
Edge Computing ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
Massive Scale ◽  
Potential Alternative ◽  
Iot Devices ◽  
Scarcity Of Resources

Recent advancements in the Internet of Things (IoT) has enabled the collection, processing, and analysis of various forms of data including the personal data from billions of objects to generate valuable knowledge, making more innovative services for its stakeholders. Yet, this paradigm continuously suffers from numerous security and privacy concerns mainly due to its massive scale, distributed nature, and scarcity of resources towards the edge of IoT networks. Interestingly, blockchain based techniques offer strong countermeasures to protect data from tampering while supporting the distributed nature of the IoT. However, the enormous amount of energy consumption required to verify each block of data make it difficult to use with resource-constrained IoT devices and with real-time IoT applications. Nevertheless, it can expose the privacy of the stakeholders due to its public ledger system even though it secures data from alterations. Edge computing approaches suggest a potential alternative to centralized processing in order to populate real-time applications at the edge and to reduce privacy concerns associated with cloud computing. Hence, this paper suggests the novel privacy preserving blockchain called TrustChain which combines the power of blockchains with trust concepts to eliminate issues associated with traditional blockchain architectures. This work investigates how TrustChain can be deployed in the edge computing environment with different levels of absorptions to eliminate delays and privacy concerns associated with centralized processing and to preserve the resources in IoT networks.

scholarly journals Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Muhammad Alam ◽  
Davide Moroni ◽  
Gabriele Pieri ◽  
Marco Tampucci ◽  
Miguel Gomes ◽  
...  
Keyword(s):  
Real Time ◽  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
Traffic Management ◽  
Smart Cities ◽  
Field Trials ◽  
Transportation Systems ◽  
Traffic Load ◽  
Daily Lives ◽  
Smart Parking

Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.

scholarly journals Mobility Support 5G Architecture with Real-Time Routing for Sustainable Smart Cities

2021 ◽  
Vol 13 (16) ◽  
pp. 9092
Author(s):  
Amjad Rehman ◽  
Khalid Haseeb ◽  
Tanzila Saba ◽  
Jaime Lloret ◽  
Zara Ahmed
Keyword(s):  
Real Time ◽  
Mobile Networks ◽  
Data Privacy ◽  
Smart Cities ◽  
Mobile Sink ◽  
Public Healthcare ◽  
Daily Routine ◽  
Mobility Support ◽  
5G Communication ◽  
Iot Devices

The Internet of Things (IoT) is an emerging technology and provides connectivity among physical objects with the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. In the literature, many solutions facilitate remote users to gather the observed data by accessing the stored information on the cloud network and lead to smart systems. However, most of the solutions raise significant research challenges regarding information sharing in mobile IoT networks and must be able to stabilize the performance of smart operations in terms of security and intelligence. Many solutions are based on 5G communication to support high user mobility and increase the connectivity among a huge number of IoT devices. However, such approaches lack user and data privacy against anonymous threats and incur resource costs. In this paper, we present a mobility support 5G architecture with real-time routing for sustainable smart cities that aims to decrease the loss of data against network disconnectivity and increase the reliability for 5G-based public healthcare networks. The proposed architecture firstly establishes a mutual relationship among the nodes and mobile sink with shared secret information and lightweight processing. Secondly, multi-secured levels are proposed to protect the interaction with smart transmission systems by increasing the trust threshold over the insecure channels. The conducted experiments are analyzed, and it is concluded that their performance significantly increases the information sustainability for mobile networks in terms of security and routing.

scholarly journals Dynamic Online 3D Visualization Framework for Real-Time Energy Simulation Based on 3D Tiles

2020 ◽  
Vol 9 (3) ◽  
pp. 166 ◽  
Author(s):  
Bo Mao ◽  
Yifang Ban ◽  
Björn Laumert
Keyword(s):  
Real Time ◽  
3D Visualization ◽  
Smart Cities ◽  
3D Models ◽  
Energy Simulation ◽  
Dynamic Interactions ◽  
Time Dynamic ◽  
Gis Applications ◽  
Real Time Visualization ◽  
Simulation Results

Energy co-simulation can be used to analyze the dynamic energy consumption of a building or a region, which is essential for decision making in the planning and management of smart cities. To increase the accessibility of energy simulation results, a dynamic online 3D city model visualization framework based on 3D Tiles is proposed in this paper. Two types of styling methods are studied, attribute-based and ID map-based. We first perform the energy co-simulation and save the results in CityGML format with EnergyADE. Then the 3D geometry data of these city objects are combined with its simulation results as attributes or just with object ID information to generate Batched 3D Models (B3DM) in 3D Tiles. Next, styling strategies are pre-defined and can be selected by end-users to show different scenarios. Finally, during the visualization process, dynamic interactions and data sources are integrated into the styling generation to support real-time visualization. This framework is implemented with Cesium. Compared with existing dynamic online 3D visualization framework such as directly styling or Cesium Language (CZML), a JSON format for describing a time-dynamic graphical scene, primarily for display in a web browser running Cesium, the proposed framework is more flexible and has higher performance in both data transmission and rendering which is essential for real-time GIS applications.

scholarly journals Neighbor Aware Protocols for IoT Devices in Smart Cities—Overview, Challenges and Solutions

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 902
Author(s):  
Sungwon Lee ◽  
Muhammad Azfar Azfar Yaqub ◽  
Dongkyun Kim
Keyword(s):  
Internet Of Things ◽  
Duty Cycle ◽  
Smart City ◽  
Mac Protocol ◽  
Smart Cities ◽  
Iot Applications ◽  
Simulation Results ◽  
Iot Devices ◽  
The Impact

The principle of Smart Cities is the interconnection of services, based on a network of Internet of Things (IoT) devices. As the number of IoT devices continue to grow, the demand to organize and maintain the IoT applications is increased. Therefore, the solutions for smart city should have the ability to efficiently utilize the resources and their associated challenges. Neighbor aware solutions can enhance the capabilities of the smart city. In this article, we briefly overview the neighbor aware solutions and challenges in smart cities. We then categorize the neighbor aware solutions and discuss the possibilities using the collaboration among neighbors to extend the lifetime of IoT devices. We also propose a new duty cycle MAC protocol with assistance from the neighbors to extend the lifetime of the nodes. Simulation results further coagulate the impact of neighbor assistance on the performance of IoT devices in smart cities.

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