Emerging Technologies for Digital Infrastructure Development / edited by Muhammad Ehsan Rana and Manoj Jayabalan.

Format:

Book

Author/Creator:

Rana, Muhammad Ehsan, Author.

Contributor:

Rana, Muhammad Ehsan, editor.

Jayabalan, Manoj, editor.

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Physical Description:

1 online resource (232 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Books, [2023]

Summary:

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.

Contents:

Cover

Title

Copyright

License

Contents

Foreword

Preface

List of Contributors

Determinants of Impulse Purchase Behaviours on e-Commerce Websites

Mohammed Adnan Islam1 and Rajasvaran Logeswaran1,*

INTRODUCTION

INTERNAL DETERMINANTS OF A PURCHASE DECISION

Trait and Related Determinants

Self-Control

Emotions

EXTERNAL DETERMINANTS OF A PURCHASE DECISION

Resources

Marketing Stimuli

Contextual

CONCLUSION

CONSENT FOR PUBLICATION

CONFLICT OF INTEREST

ACKNOWLEDGEMENTS

REFERENCES

Issuer Credit Rating Performance Report Using Sentiment Analysis

Prabu Setyaji1 and Raja Rajeswari Ponnusamy1,*

MATERIALS AND METHODS

LITERATURE REVIEW

METHODOLOGY

IMPLEMENTATION

RESULTS AND DISCUSSION

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

Muhammad Ehsan Rana1,*, Kamalanathan Shanmugam1 and Chan Yu Hang1

PROBLEM STATEMENT

USE OF IOT IN INVENTORY TRACKING AND MONITORING

IOT APPLICATION LAYERS

Sensor Layer

Communication Layer

Application Support Layer

Application Layer

RECOMMENDED SENSORS FOR INVENTORY TRACKING &amp

MONITORING SYSTEMS

Temperature Sensor

Motion Sensor

Proximity Sensor

Humidity Sensor

Magnetic Sensor

Pressure Sensor

Sound Sensor

Optic Sensor

APPLYING IOT IN LOGISTIC OPERATIONS

APPLYING IOT IN WAREHOUSING OPERATIONS

ISSUES ASSOCIATED WITH EXISTING INVENTORY MANAGEMENT SYSTEMS

PROPOSED SYSTEM

Salient Features of the Proposed System

User Roles In The Proposed System

Manufacturer

Administrator

Shopkeeper

Proposed System Design

DATABASE DESIGN

Implementation and Adoption Challenges

FUTURE ENHANCEMENTS.

CONSENT FOR PUBLICATION

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

Wong Xin Yi1, Mien May Chong1,* and Sivaguru A/L Subarmaniyan1

CURRENT SITUATION OF DIABETES CARE IN MALAYSIA

Technologies Used in Current Diabetes Care

Problems and Solutions: Why do we have diabetes?

Lack of Exercise and Unhealthy Lifestyles

The Lack of an Exercise Routine

RELATIONSHIP BETWEEN DIABETES, ARTIFICIAL INTELLIGENCE (AI) AND FITNESS

Use of AI in the Fitness field

AI and Fitness: For Future Diabetes

Survey: Result and Discussion

An RSA-based Secure E-hailing Application

Loo Jun Hao1,*, Nik Sakinah Nik Ab Aziz1 and Nik Nurul Ain Nik Suki1

INFORMATION GATHERING METHODS

SOFTWARE DEVELOPMENT METHODOLOGY

RESEARCH METHODS

SIMILAR WORKS

Core Features And Functionalities

Implementation (GUI)

Implementation (CLI)

Testing Results

Digital Divide in Primary Schools

Veerakumar Soundrapandian1,*

FINDING

Accessibility

Affordability

Gender

Education Level

Age

Race

Digital Skills

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

Ameer A.N. Alasaad1, Nor Azlina Abd Rahman1,* and Yusnita Yusof1

REVIEW OF IDS SYSTEMS

Snort

Suricata

SolarWinds Security Event Manager

TYPES OF IDS.

Host-based Intrusion Detection System (HIDS)

Network-Based Intrusion Detection System (NIDS)

TYPES OF DETECTION

Signature-Based Detection

Anomaly-Based Detection

REQUIREMENT ANALYSIS

In Your Opinion, How Secure Is Iomt (Internet Of Medical Things)?

Which Level of Confidentiality do You Think the Patient's Medical Records Should be at?

All Hospital Network Devices have Potential Threats that must be Monitored

Intrusion Detection System (IDS) Helps to Identify any Suspicious Activity in the Hospital Network

Cyber Security State of Industrial Internet of Things (IIoT)

Ali Ahmed Mohammed Ali Alwashali1, Nor Azlina Abdul Rahman2 and Mohammad Haziq Roszlan2,*

Industrial Control System Environment

IoT in Electrical Sector

Applications of IIoT in Smart Grid

VULNERABILITY AND RISK ASSESSMENT

Safety and Security

IIoT Vulnerabilities

ICS Vulnerabilities

Memory Corruption

Credential Dump

Insecure Configuration

Code Injection

AMI Privacy Concern

IMPROVING IIOT SECURITY

Improving Prevention

Improving Detection

Detection of IIoT attacks using Honeypots

ORGANISATIONAL AND OPERATIONAL SECURITY

CYBER THREATS INTELLIGENCE AND INFORMATION SHARING

IoT Threats Intelligence Platform

SECURITY ASSESSMENT APPROACH FOR IIOT NETWORKS

ACKNOWLEDGEMENT

Machine Learning for Browser Privacy

Kelvin Tan1 and Rajasvaran Logeswaran1,*

ONLINE PRIVACY

DATA BROKER

CURRENT RESEARCH IN BROWSER FINGERPRINTING

CURRENT RESEARCH IN USER INTEREST PROFILING

BROWSER FINGERPRINTING COUNTER MEASURES

MACHINE LEARNING AND BROWSER PRIVACY.

NATURAL LANGUAGE PROCESSING AND BROWSER PRIVACY

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

Soon Qi Huan1 and Vinesha Selvarajah1,*

MITM ATTACK

MITM Attack Phases

Type of MITM Attacks

ARP

How ARP Works

ARP Spoofing Attack

TOOLS FOR ARP SPOOFING ATTACK

Nmap

Arpspoof

Wireshark

ARP SPOOFING ATTACK DEMONSTRATION STEPS

Check Configuration Status

Launch ARP Spoofing Attack

Sniff Network Traffic Using Wireshark

Terminate ARP Spoofing Attack

REVIEW FOR MITM ATTACK

Elderly Monitoring Using the Internet of Things (IoT)

Matthew Tan Xian Long1,* and Intan Farahana Binti Kamsin1

AIM AND OBJECTIVES

OBJECTIVES

RESEARCH QUESTIONS

Internet of Things (IoT)

Monitoring System using IoT

Elderly in Malaysia

Elderly Monitoring System at Home Using IoT Technology in Malaysia

Similar Systems

System 1

System 2

System 3

Comparison of Similar Systems

SIGNIFICANCE OF THE RESEARCH

OVERVIEW OF THE SYSTEM

IoT-Based Medical Ecosystem

Wong Wan Jing1, Nor Azlina Abdul Rahman1 and Daniel Mago Vistro2,*

BACKGROUND OF ABBOT AND THE IOT MEDICAL

VULNERABILITIES AND IMPACT OF IOT MEDICAL ECOSYSTEM

METHODS OF ATTACKS USED IN IOT MEDICAL ECOSYSTEM

ORGANISATIONAL AND OPERATIONAL SECURITY IOT MEDICAL SYSTEM

Risk Management and Vulnerabilities Management

Security Certifications

Policies

FRAMEWORK ON IMPROVEMENT OF IOT MEDICAL SYSTEM SECURITY.

CONCLUSION

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

Hen Kian Jun1,* and Siti Azreena Binti Mubin1

BACKGROUND

Active Learning

Mobile Learning

SIGNIFICANCE OF THE WORK

OVERVIEW OF THE PROPOSED SYSTEM

Analytics on Airline Customer Satisfaction Factors

Pit Khien Leong1 and Rajasvaran Logeswaran1,*

DATA ANALYTICS ON ASSESSING CUSTOMER SATISFACTION

Facilities and Services Provided

Price

Service Quality

Reviews of Customers

Flight Catering

ANALYTICAL METHODS USED

Regression Analysis

Random Forest

Structural Equation Model (SEM)

Logistic Regression

Other Popular Techniques

STRENGTHS AND WEAKNESSES OF THE ANALYTICS

A Personalized Recommendation System for Academic Events

Henry Khoo Shien Chen1 and Shubashini Rathina Velu1,*

Academic Events

Recommender System

Personalised or Contextualize Recommender System

AIMS AND OBJECTIVES

SIGNIFICANT OF RESEARCH

Introduction

Requirement Planning Phase

Data Collection Method

User Design Phase

Construction Phase

Cutover Phase

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

Faridzuan Bin Barakath Rahman1, Tanveer Khaleel Shaikh1,* and Nurul Husna Binti Mohd Saad1.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9789815080957

9815080954

OCLC:

1402816887