With the rapid penetration of technology in varied application
domains, the existing cities are getting connected more seamlessly.
Cities becomes smart by inducing ICT in the classical city
infrastructure for its management. According to McKenzie Report,
about 68% of the world population will migrate towards urban
settlements in near future. This migration is largely because of
the improved Quality of Life (QoL) and livelihood in urban
settlements. In the light of urbanization, climate change,
democratic flaws, and rising urban welfare expenditures, smart
cities have emerged as an important approach for society's future
development. Smart cities have achieved enhanced QoL by giving
smart information to people regarding healthcare, transportation,
smart parking, smart traffic structure, smart home, smart agronomy,
community security etc. Typically, in smart cities data is sensed
by the sensor devices and provided to end users for further use.
The sensitive data is transferred with the help of internet
creating higher chances for the adversaries to breach the data.
Considering the privacy and security as the area of prime focus,
this book covers the most prominent security vulnerabilities
associated with varied application areas like healthcare,
manufacturing, transportation, education and agriculture etc.
Furthermore, the massive amount of data being generated through
ubiquitous sensors placed across the smart cities needs to be
handled in an effective, efficient, secured and privacy preserved
manner. Since a typical smart city ecosystem is data driven, it is
imperative to manage this data in an optimal manner. Enabling
technologies like Internet of Things (IoT), Natural Language
Processing (NLP), Blockchain Technology, Deep Learning, Machine
Learning, Computer vision, Big Data Analytics, Next Generation
Networks and Software Defined Networks (SDN) provide exemplary
benefits if they are integrated in the classical city ecosystem in
an effective manner. The application of Artificial Intelligence
(AI) is expanding across many domains in the smart city, such as
infrastructure, transportation, environmental protection, power and
energy, privacy and security, governance, data management,
healthcare, and more. AI has the potential to improve human health,
prosperity, and happiness by reducing our reliance on manual labor
and accelerating our progress in the sciences and technologies. NLP
is an extensive domain of AI and is used in collaboration with
machine learning and deep learning algorithms for clinical
informatics and data processing. In modern smart cities, blockchain
provides a complete framework that controls the city operations and
ensures that they are managed as effectively as possible. Besides
having an impact on our daily lives, it also facilitates many areas
of city management.
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