Cyber Security and Business Intelligence: Innovations and Machine Learning for Cyber Risk Management

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Mohammad Zoynul Abedin Petr Hajek

Cyber Security and Business Intelligence

Innovations and Machine Learning for Cyber Risk Management

Mohammad Zoynul Abedin , Petr Hajek

$284

Hardback

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English

Routledge
11 December 2023

Business strategy; Computing: general; Legal aspects of computing; Computer security; Machine learning

Series: Routledge Studies in Innovation, Organizations and Technology

To 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 risk management datasets. It will also leverage real-world financial instances to practise business product modelling and data analysis.

The contents of this book will be useful for a wide audience who are involved in managing network systems, data security, data forecasting, cyber risk modelling, fraudulent credit risk detection, portfolio management, and data regulatory bodies. It will be particularly beneficial to academics as well as practitioners who are looking to protect their IT system, and reduce data breaches and cyber-attack vulnerabilities.

Edited by: Mohammad Zoynul Abedin , Petr Hajek
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 589g
ISBN: 9781032259574
ISBN 10: 1032259574
Series: Routledge Studies in Innovation, Organizations and Technology
Pages: 222
Publication Date: 11 December 2023
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

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 at 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, and 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.