Digital Innovation Adoption: Architectural Recommendations and Security Solutions

Muhammad Ehsan Rana, Manoj Jayabalan

• Publisher: Bentham Science Publishers
• Year: 2024
• Print ISBN:
  9789815079685
• eBook ISBN:
  9789815079661
• Topic: Computer Science
• Subtopic: Cyber Security
• Index: Computer Science

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.

Table of contents

• BENTHAM SCIENCE PUBLISHERS LTD.
• FOREWORD
• PREFACE
• List of Contributors
• Access and Secure Patient Medical Records using Blockchain Technology based Framework: A Review
• Identifying Cyber Threats in IoT based Connected Cars for Enhanced Security
• Malware Analysis and Malicious Activity Detection using Machine Learning
• Secure IoT based Home Automation by Identifying Vulnerabilities and Threats
• IoT Policy and Governance Reference Architecture: Integrity and Security of Information Across IoT Devices
• Organizational Security Improvement in Preventing Deepfake Ransomware
• Use of Machine Learning in Credit Card Fraud Detection