Aspern smart ICT: Data analytics and privacy challenges in a smart city

2015 ◽  
Author(s):  
Deepak Dhungana ◽  
Gerhard Engelbrecht ◽  
Josiane Xavier Parreira ◽  
Andreas Schuster ◽  
Danilo Valerio
Keyword(s):  
Smart City ◽  
Data Analytics

Using Big Data Analytics to Assist a Smart City to Prevent Cyber Security Threats

2021 ◽  
pp. 107-124
Author(s):  
Fenio Annansingh
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Smart City ◽  
Data Analytics ◽  
Life Quality ◽  
Big Data Analytics ◽  
Review Of The Literature ◽  
Smart Services ◽  
Prevention Model

The concept of a smart city as a means to enhance the life quality of citizens has been gaining increasing importance in recent years globally. A smart city consists of city infrastructure, which includes smart services, devices, and institutions. Every second, these components of the smart city infrastructure are generating data. The vast amount of data is called big data. This chapter explores the possibilities of using big data analytics to prevent cybersecurity threats in a smart city. It also analyzed how big data tools and concepts can solve cybersecurity challenges and detect and prevent attacks. Using interviews and an extensive review of the literature have developed the data analytics and cyber prevention model. The chapter concludes by indicating that big data analytics allow a smart city to identify and solve cybersecurity challenges quickly and efficiently.

Smart city designing and planning based on big data analytics

2017 ◽  
Vol 35 ◽  
pp. 271-279 ◽  
Author(s):  
Murad Khan ◽  
Muhammad Babar ◽  
Syed Hassan Ahmed ◽  
Sayed Chhattan Shah ◽  
Kijun Han
Keyword(s):  
Big Data ◽  
Smart City ◽  
Data Analytics ◽  
Big Data Analytics

scholarly journals Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2994 ◽  
Author(s):  
Bhagya Silva ◽  
Murad Khan ◽  
Changsu Jung ◽  
Jihun Seo ◽  
Diyan Muhammad ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Smart City ◽  
Data Analytics ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Time Data ◽  
Real Time Data

The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous devices, has pioneered the notion of smart city. Various components, i.e., smart transportation, smart community, smart healthcare, smart grid, etc. which are integrated within smart city architecture aims to enrich the quality of life (QoL) of urban citizens. However, real-time processing requirements and exponential data growth withhold smart city realization. Therefore, herein we propose a Big Data analytics (BDA)-embedded experimental architecture for smart cities. Two major aspects are served by the BDA-embedded smart city. Firstly, it facilitates exploitation of urban Big Data (UBD) in planning, designing, and maintaining smart cities. Secondly, it occupies BDA to manage and process voluminous UBD to enhance the quality of urban services. Three tiers of the proposed architecture are liable for data aggregation, real-time data management, and service provisioning. Moreover, offline and online data processing tasks are further expedited by integrating data normalizing and data filtering techniques to the proposed work. By analyzing authenticated datasets, we obtained the threshold values required for urban planning and city operation management. Performance metrics in terms of online and offline data processing for the proposed dual-node Hadoop cluster is obtained using aforementioned authentic datasets. Throughput and processing time analysis performed with regard to existing works guarantee the performance superiority of the proposed work. Hence, we can claim the applicability and reliability of implementing proposed BDA-embedded smart city architecture in the real world.

scholarly journals Proposed Algorithm for Smart Traffic Control using Ultrasonic Sensors

2019 ◽  
Vol 8 (6) ◽  
pp. 3912-3915
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Smart City ◽  
Data Analytics ◽  
Traffic Density ◽  
Signal Timing ◽  
Technical Solution ◽  
Ultrasonic Sensors ◽  
Traffic Control System ◽  
Smart Traffic

In India, the concept of smart city has evolved since last few years. Smart city includes smart electricity distributions, smart parking, smart lighting on streets, smart water distribution, smart drainage system, smart pipe gas system, smart traffic control system etc. All smart systems listed need smart use of technical solution so that all systems will play critical role in making city as smart. As far as smart traffic control is concerned, there were few solutions suggested and implanted such as sensor with CCTV, camera with IR sensor and tags etc. The technical solution may include software, hardware, communication models, networking, usage of data and of-course data analytics. As large amount of data may be generated by the objects/components involved in the system, it must be analyzed properly. The data may be in structured or un-structured format. In this paper, smart traffic control system with efficient algorithm has been proposed with data analytics to control traffic, which controls the timing of the signal dynamically. At a junction, there is need to control the traffic and signal timing such that air and noise pollution also will be monitored and controlled. In this model, IoT system has been proposed with ultrasonic sensors to control the traffic. The signal timing will be dynamically monitored and adjusted with traffic density within a region. This will give solution to control, monitor the traffic at every signal in a city

Smart City Ethics

2020 ◽  
pp. 822-839
Author(s):  
Ellen P. Goodman
Keyword(s):  
Urban Space ◽  
Smart City ◽  
Data Analytics ◽  
Smart Cities ◽  
Data Gathering ◽  
Big Data Analytics ◽  
Urban Life ◽  
Or Education ◽  
Public And Private ◽  
Data Flows

This chapter explores the concept of “smart cities,” a term which describes the growing role of data analytics and sensors in urban life. Smart city initiatives rely on pervasive data gathering and integration, big data analytics, and artificial intelligence to manage mobility, energy, housing, public realm access, and myriad public and private services. These data flows can change how physical infrastructure like streets and parks are configured and services provisioned. They can tailor opportunities for housing or education based on individual digital identities and predictive algorithms. As more life in the city runs through digital apps and platforms, rights to access and control data increase in importance. Data flows from residents and public spaces to smart city corporations raise pressing policy questions about what power the public should cede to private developers to shape urban space, subject to how much oversight and with what expectation of return on public assets. The chapter then sorts these concerns into three major groups: privatization, platformization, and domination.

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