Editors: Muhammad Ehsan Rana, Manoj Jayabalan

Emerging Technologies for Digital Infrastructure Development

eBook: US $49 Special Offer (PDF + Printed Copy): US $78
Printed Copy: US $54
Library License: US $196
ISBN: 978-981-5080-96-4 (Print)
ISBN: 978-981-5080-95-7 (Online)
Year of Publication: 2023
DOI: 10.2174/97898150809571230101


Emerging Technologies for Digital Infrastructure Development is a comprehensive and insightful book that reviews the transformative impact of cutting-edge technologies on the digital landscape. It presents 16 topics, from e-commerce consumer behavior to AI applications in healthcare and cybersecurity, this book offers a detailed overview of the role of technology in shaping the modern world. With a focus on bridging the digital divide in education, the book presents innovative solutions to contemporary challenges. The editors also emphasize the importance of privacy and security in an interconnected world by discussing cybersecurity measures and threat detection strategies. The book serves as a valuable resource for technology professionals, researchers, and academics, offering a deep dive into the latest trends and applications in digital infrastructure. It also caters to business leaders, policy makers, and students seeking to understand the transformative potential of emerging technologies.

Key technologies highlighted in the book include machine learning and AI models, IoT, data analytics, recommendation systems and e-learning systems. Applications of these technologies are demonstrated for healthcare, e-commerce, cybersecurity, aviation and education sectors.

Emerging Technologies for Digital Infrastructure Development offers insights and solutions that pave the way for a secure, efficient, and inclusive digital future.

Audience: Readers, students, policy makers interested in digital transformation initiatives in healthcare, education, e-commerce and other services industries.


Social and economic factors have a growing impact on our lifestyle. These factors provide the basis for our decisions in choosing healthcare, education, shopping, and other key choices of our life. The advancement in various technologies like the Internet of Things (IoT), Artificial intelligence, Data Analytics and Machine Learning has made it possible to measure and positively impact these socio-economic factors. In this competitive world, companies must identify trends and make projections to estimate the future direction of their business. In addition, businesses need to incorporate various technologies to gauge their customer buying behaviour and overall opinions on the products and services. Customer buying behaviour is determined by capturing the customer's involvement in purchase decisions before buying a product or service through various technological platforms, including search engines, social media posts, and a variety of other tools.

Similarly, sentiment analysis is among the critical approaches that businesses must employ to detect and quantify attitudes, opinions and emotions among various customer segments. However, the significant influence of technology on these socio-economic factors has escalated several serious concerns. Among those concerns, the digital divide and the security issues are the biggest challenges to overcome. The digital divide is primarily caused by insufficient technological access, lack of digital skills and cost of the underlying infrastructure. Moreover, knowledge and comprehension of the underpinning security technologies and their application to safeguard these systems are critical. Furthermore, understanding the key issues pertinent to using security technologies and the legal framework within which the security technologies are used is of utmost importance. Investigating the use of emerging technologies for socio-economic and secure infrastructure development will not only support technological sustainability but will also significantly affect the future development trends.

Muhammad Ehsan Rana
School of Computer Science
Asia Pacific University of Technology & Innovation
Kuala Lumpur


Manoj Jayabalan
School of Computer Science & Mathematics
Liverpool John Moores University