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.


Emerging Technologies for Digital Infrastructure Development

End User License Agreement (for non-institutional, personal use)

INTERNAL DETERMINANTS OF A PURCHASE DECISION

EXTERNAL DETERMINANTS OF A PURCHASE DECISION

Determinants of Impulse Purchase Behaviours on e-Commerce Websites

Issuer Credit Rating Performance Report Using Sentiment Analysis

USE OF IOT IN INVENTORY TRACKING AND MONITORING

RECOMMENDED SENSORS FOR INVENTORY TRACKING & MONITORING SYSTEMS

ISSUES ASSOCIATED WITH EXISTING INVENTORY MANAGEMENT SYSTEMS

Recommendations for Implementing an IoT-Based Inventory Tracking and Monitoring System

CURRENT SITUATION OF DIABETES CARE IN MALAYSIA

RELATIONSHIP BETWEEN DIABETES, ARTIFICIAL INTELLIGENCE (AI) AND FITNESS

Incorporate Artificial Intelligence into the Fitness Field to Curb Diabetes in Malaysia: Current and Future

An RSA-based Secure E-hailing Application

Intrusion Detection System for the Internet of Medical Things (IoMT)

CYBER THREATS INTELLIGENCE AND INFORMATION SHARING

SECURITY ASSESSMENT APPROACH FOR IIOT NETWORKS

Cyber Security State of Industrial Internet of Things (IIoT)

CURRENT RESEARCH IN BROWSER FINGERPRINTING

CURRENT RESEARCH IN USER INTEREST PROFILING

NATURAL LANGUAGE PROCESSING AND BROWSER PRIVACY

ARP Spoofing in Launching Man-in-the-Middle Attack

Elderly Monitoring Using the Internet of Things (IoT)

VULNERABILITIES AND IMPACT OF IOT MEDICAL ECOSYSTEM

METHODS OF ATTACKS USED IN IOT MEDICAL ECOSYSTEM

ORGANISATIONAL AND OPERATIONAL SECURITY IOT MEDICAL SYSTEM

FRAMEWORK ON IMPROVEMENT OF IOT MEDICAL SYSTEM SECURITY

Active Learning-based Mobile Learning System for Students of Asia Pacific University

DATA ANALYTICS ON ASSESSING CUSTOMER SATISFACTION

STRENGTHS AND WEAKNESSES OF THE ANALYTICS

Analytics on Airline Customer Satisfaction Factors

A Personalized Recommendation System for Academic Events

e-Health Web Application with Electronic Medical Records (EMR) and Virtual Appointments

Bentham Science Publishers

This reference reviews the architectural requirements of IT systems that are designed to digitally transform business operations. It is a compilation of 7 timely reviews that demonstrate how adopting emerging technologies and examining the security-based concerns can lead to innovation in the business sector. The aim of the book is to guide scholars and business consultants on IT and business frameworks that can help new and existing organizations navigate the challenges posed by disruptive technologies to create a competitive advantage. The reviews are contributed by experts in business and information technology.
 
 
 
 
The chapters cover diverse topics related to technological advancements and digital security measures. Chapter 1 offers insights into accessing and securing patient medical records through a blockchain-based framework, detailing research methodology, scalability, and standards. Chapter 2 discusses cyber threats in IoT-connected cars, addressing vulnerabilities, attack methods, and defense strategies. Chapter 3 focuses on malware analysis and detection using machine learning techniques. Chapter 4 emphasizes on securing IoT-based home automation. Chapter 5 presents an IoT policy and governance reference architecture to ensure integrity and security across devices. Chapter 6 explores organizational security improvements to prevent deepfake ransomware. Finally, Chapter 7 examines the use of machine learning in credit card fraud detection, discussing challenges and control layers.
 
 
 
 
 
 
 
Readership
 
Scholars, academics, business consultants, entrepreneurs.

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Emerging Technologies for Digital Infrastructure Development

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معلومات إضافية:

عن المؤلفين:

Muhammad Ehsan Rana

Digital Innovation Adoption: Architectural Recommendations and Security Solutions

Muhammad Ehsan Rana

Manoj Jayabalan

Manoj Jayabalan