AI-Powered Cybersecurity for Banking and Finance: How to Enhance Security, Protect Data, and Prevent Attacks

AI-Powered Cybersecurity for Banking and Finance:
How to Enhance Security, Protect Data, and Prevent Attacks

  • ISBN: 9781032980645 - DOI: 10.1201/9781003596875
  • Book Information: EasyChair CFP Information
  • Chapter Submission: New Submission for AI-Powered-Cybersecurity-2025
  • Abstract registration deadline: September 30, 2024
  • Acceptance Notification: September 30, 2024
  • Full-Chapter Submission deadline: December 15, 2024
  • Full-Length Chapter Decision: December 20, 2024
  • T&F and Contributor Agreement: December 20, 2024

Publication

The book proceedings will be published by CRC Press, Taylor & Francis Group, Florida, USA

Publication Charge

No Publication Charge

Abstracting and Indexing

All Taylor & Francis (T & F) publications have a direct feed (indexed) to WoS and Scopus and newly submitted contents are submitted monthly. At present, WoS contains 10,000+ books and T & F in the top ten contributing publishers.

Contact

All questions about submissions should be emailed to Alex Khang, Global Research Institute of Technology and Engineering, North Carolina, United States. alex.khang@outlook.com

Introduction

Nowadays, emerging trends of technologies, innovations, and future directions, such as predictive analytics for threat mitigation and federated learning for data privacy, are also explored in this book. Overall, this book will provides insights into how techniques of data management and AI-based cybersecurity technology revolutionizes secure networking, offering a comprehensive understanding of its principles, applications, and implications for cybersecurity in the era of digital banking and finance.

This book explores the application of AI-based cybersecurity technology in enhancing secure banking and finance networking systems. The convergence of artificial intelligence (AI) and cybersecurity has opened new avenues for bolstering security in networking infrastructures for banking and finance industry.

Benefits for Contributor

  • Contributor shall receive a MANUSCRIPT CERTIFICATE as the copyright of the chapter
  • Contributor shall sign a CONTRIBUTOR AGREEMENT (CA) as the copyright of the chapter
  • Contributor shall receive 01 eBook (access full book via VitalSource.com).
  • Chapter shall assign DOI address and CrossRef information.
  • Chapter shall index by Google Scholar Profile and Google Scholar Citations.
  • Chapter (evaluate by Scopus) shall index by Scopus along the Book title.

List of Topics:

The book examines the integration of AI, Cybersecurity, Big Data, and blockchain to address challenges in secure networking, including authentication, authorization, data integrity, and privacy preservation of investors as well as clients. Real-world applications are presented to illustrate practical implementations of AI-based cybersecurity solutions in not only banking and finance networking, but also using for related diverse sectors. You are invited to contribute chapters and papers and the scope of the book includes but is not limited to the following topics:

  • Role of Artificial Intelligence (AI) in Cybersecurity
  • Cybersecurity for Banking and Finance Networking Using AI-Based Blockchain Technology
  • Driving application of AI and Blockchain Technologies for Banking and Finance Networking
  • The Evolution of Cybersecurity Technologies in Business and Finance
  • Quantum Cybersecurity Technologies in Banking and Finance
  • Driving Cybersecurity of ML and Big Data Technologies for Banking and Finance Ecosystem
  • Blockchain Technology and AI's Significance for Cyber Security in the Digital Banking System
  • The Incorporation of NFT and Management Approaches in Banking and Financial Industry
  • AI-Based Blockchain Technology for Security in Financial Sector
  • Application of Blockchain-Driven Data Security in Smart Finance Environments
  • Analyze and Validate Bank Account Identities using Data-Centric AI Algorithms
  • Adoption of Blockchain-driven data Security for Banking and Finance Networking
  • Transforming Finance Processes with AI-Driven Blockchain and Smart Contracts
  • Enhancing Security of IoFT Systems Using Machine Learning-Based Blockchain Technology
  • Financial Forecasting with Convolutional Neural Networks: Trends and Challenges
  • Explore on Bank Network Security Based on Three-Party Game Model
  • Circular Product Lifecycle Management
  • Data Privacy in the Metaverse-based Financial Ecosystem
  • Federated Blockchain based System for Managing Client Complaints
  • Opportunities, Issues and Challenges of AI in Cybersecurity