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The amalgamation of post-quantum cryptography in cyber-physical
systems makes the computing system secure and also generates
opportunities in areas like smart contracts, quantum blockchain,
and smart security solutions. Sooner or later, all computing and
security systems are going to adopt quantum-proof cryptography to
safeguard these systems from quantum attacks. Post-quantum
cryptography has tremendous potential in various domains and must
be researched and explored further to be utilized successfully.
Advancements in Quantum Blockchain With Real-Time Applications
considers various concepts of computing such as quantum computing,
post-quantum cryptography, quantum attack-resistant blockchain,
quantum blockchains, and multidisciplinary applications and
real-world use cases. The book also discusses solutions to various
real-world problems within the industry. Covering key topics such
as cybersecurity, data management, and smart society, this
reference work is ideal for computer scientists, industry
professionals, academicians, practitioners, scholars, researchers,
instructors, and students.
The book covers the concepts of Python programming language along
with mobile application development. Starting from fundamentals,
the book continues with the explanation of mobile app development
using Kivy framework. All the chapters offer questions and
exercises for to better understanding of the subject. At the end of
the book some hands-on projects are given to help the readers to
improve their programming and project development skills.
The amalgamation of post-quantum cryptography in cyber-physical
systems makes the computing system secure and also generates
opportunities in areas like smart contracts, quantum blockchain,
and smart security solutions. Sooner or later, all computing and
security systems are going to adopt quantum-proof cryptography to
safeguard these systems from quantum attacks. Post-quantum
cryptography has tremendous potential in various domains and must
be researched and explored further to be utilized successfully.
Advancements in Quantum Blockchain With Real-Time Applications
considers various concepts of computing such as quantum computing,
post-quantum cryptography, quantum attack-resistant blockchain,
quantum blockchains, and multidisciplinary applications and
real-world use cases. The book also discusses solutions to various
real-world problems within the industry. Covering key topics such
as cybersecurity, data management, and smart society, this
reference work is ideal for computer scientists, industry
professionals, academicians, practitioners, scholars, researchers,
instructors, and students.
Technological advancements of recent decades have reshaped the way
people socialize, work, learn, and ultimately live. The use of
cyber-physical systems (CPS) specifically have helped people lead
their lives with greater control and freedom. CPS domains have
great societal significance, providing crucial assistance in
industries ranging from security to healthcare. At the same time,
machine learning (ML) algorithms are known for being substantially
efficient, high performing, and have become a real standard due to
greater accessibility, and now more than ever, multidisciplinary
applications of ML for CPS have become a necessity to help uncover
constructive solutions for real-world problems. Real-Time
Applications of Machine Learning in Cyber-Physical Systems provides
a relevant theoretical framework and the most recent empirical
findings on various real-time applications of machine learning in
cyber-physical systems. Covering topics like intrusion detection
systems, predictive maintenance, and seizure prediction, this book
is an essential resource for researchers, machine learning
professionals, independent researchers, scholars, scientists,
libraries, and academicians.
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