Cyber Security and Business Intelligence

ISBN-13: 9781032259574 / Twarda / 2023 / 256 str.

Opis

The book provides both practical and managerial implications of cyber security that also supports business intelligence and discusses the latest innovations in cyber security.

Spis treści

1. Leveraging Business Intelligence to Enhance Cyber Security Innovation

Sarika Faisal, Syed Far Abid Hossain, Saba Fahmida and Rayisa Rayhana

2. Cyber Risk and the Cost of Unpreparedness of Financial Institutions

Naveenan R.V and Suresh G

3.　Cyber Security in Banking Sector

Mohammad Zoynul Abedin, Petr Hajek and Nusrat Afrin Shilpa

4. Is Application of Blockchain Technology in the Field of Accounting Feasible? A Developing Nation Perspective

Emon Kalyan Chowdhury

5. Empirical Analysis of Regression Techniques to Predict the Cybersecurity Salary

Mahmudul Hasan, Md. Mahedi Hassan, Md. Faisal-E-Alam, and Nazrin Akter

6.　Test Plan for Immersive Technology-Based Medical Support System

Mohammad Nasfikur R Khan, Bhushan Lohar, Robert Cloutier and Kari J. Lippert

7.　Current Challenges of Hand-Based Biometric Systems

Katerina Prihodova, and Miloslav Hub

8.　Investigating Machine Learning Algorithms with Model Explainability for Network Intrusion Detection

Sad Wadi Sajid, K.M. Rashid Anjum, Md. Al-Shahariar and Mahmudul Hasan

9.　How Much Do the Features Affect the Classifiers on UNSW-NB15? An XAI Equipped Model Interpretability

Mahmudul Hasan, Abdullah Haque, Md Mahmudul Islam and Md Al Amin

10. On the Selection of Suitable Dimensionality Reduction and Data Balancing Techniques to Classify DarkNet Access on CICDarknet2020

Mahmudul Hasan, Ashraful Islam and Ashrafuzzaman Shohag

11. An Effective Three-Layer Network Security to Prevent Distributed Denial of Service (DDoS) Attacks in Early Stages

Mahmudul Hasan, Sad Wadi Sajid and Md. Al Amin

12. Information Hiding Through a Novel DNA Steganography Technique to Secure Text Communication

Nahid Binte Sadia, Mahmudul Hasan and Md. Rashedul Islam

13. An Explainable AI-Driven Machine Learning Framework for Cybersecurity Anomaly Detection

Md. Mahedi Hassan, Md. Fahim Abrar and Mahmudul Hasan

　

　

　

O autorze

Mohammad Zoynul Abedin is a Senior Lecturer in Finance (FinTech) at the School of Management, Swansea University, UK. Earlier he was a Senior Lecturer in FinTech with Teesside University, UK. He is an experienced data analyst and project evaluator, and specializes in fintech, data mining, big data analytics, deep learning, machine learning, energy analytics, sustainability, climate analytics, implications in 4th Industrial Revolution.

Petr Hajek is Professor of system engineering and informatics with the Science and Research Centre, Faculty of Economics and Administration, University of Pardubice. His research interests include soft computing, machine learning, and economic modelling. He is an Associate Editor of four journals.