Description
Book SynopsisTo cope with the competitive worldwide marketplace, organizations rely on business intelligence to an increasing extent. Cyber security is an inevitable practice to protect the entire business sector and its customer. This book presents the significance and application of cyber security for safeguarding organizations, individuals' personal information, and government.
The book provides both practical and managerial implications of cyber security that also supports business intelligence and discusses the latest innovations in cyber security. It offers a roadmap to master degree students and PhD researchers for cyber security analysis in order to minimize the cyber security risk and protect customers from cyber-attack. The book also introduces the most advanced and novel machine learning techniques including, but not limited to, Support Vector Machine, Neural Networks, Extreme Learning Machine, Ensemble Learning, and Deep Learning Approaches, with a goal to apply those to cyber
Table of Contents
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 the Application of Blockchain Technology in 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
