The book explores the importance of artificial intelligence (AI)--based predictive cybersecurity tools in the financial industry and their role in protecting financial data. As AI continues to revolutionize the landscape of global transactions, it also brings forth new challenges, including sophisticated theft activities.
The book explores the importance of artificial intelligence (AI)--based predictive cybersecurity tools in the financial industry and their role in protecting financial data. As AI continues to revolutionize the landscape of global transactions, it also brings forth new challenges, including sophisticated theft activities.
Dr. Alex Khang is a professor in information technology at the Universities of Science and Technology in Vietnam, and the United States; an IT Workforce Development Consultant for High-tech Corporations in the USA and Vietnam; an AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and the USA. He has been the chair session for 20 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 PhD theses in the computer science field.
Inhaltsangabe
1. Role of Artificial Intelligence and Cybersecurity in Banking Industry, 2. AI-Based Blockchain Technology for Security in Financial Sector, 3. The Evolution of Cybersecurity Technologies in Banking and Finance, 4. Navigating Cyber Threats: The Integration of Artificial Intelligence in Banking Security Frameworks, 5. Application of Blockchain-Driven Data Security in Smart Environments, 6. Blockchain Technology and AI's Significance for Cybersecurity in the Digital Economy, 7. Cyber-Physical System Integration Issues and Data Processing Platforms in the IoT Framework, 8. Internet of Things (IoT) Data Visualizations for Business Insight in Finance Industry, 9. Machine Learning-Based SOAR for Financial Institutions, 10. Financial Forecasting and Cybersecurity with Convolutional Neural Networks: Trends and Challenges, 11. AI Cybersecurity in Banking: Meeting Global Rules beyond EU AI Act with Trusted Service, 12. The Role of AI and Fintech in Strengthening Transnational Anti-Money Laundering Compliance, 13. Quantum Cybersecurity Technologies in Banking and Finance, 14. Anomaly Detection Driven by Machine Learning: Enhancing SIEM Tools for Sturdy Cyber Defense, 15. Artificial Intelligence (AI)-Powered Innovation in Mortgage Banking, 16. Application of Unified Payment Interface in Transforming the Digital Landscape of National Banking, 17. Generative AI: A Review of Continuous Evolving Information Generation Perspective, 18. Application of Artificial Intelligence in Cybersecurity, 19. Security Risks at the Software-Defined Networking Architecture and Infrastructure Layer, 20. Federated Blockchain-Based System for Managing Client Complaints, 21. Big Data Analytics for Fraud Detection in Financial Transactions, 22. Cloud and Cybersecurity for Banking and Finance Services, 23. Data Privacy Challenges and Innovations in the Metaverse Financial Ecosystem, 24. Opportunities, Issues, and Challenges of Artificial Intelligence in Cybersecurity
1. Role of Artificial Intelligence and Cybersecurity in Banking Industry, 2. AI-Based Blockchain Technology for Security in Financial Sector, 3. The Evolution of Cybersecurity Technologies in Banking and Finance, 4. Navigating Cyber Threats: The Integration of Artificial Intelligence in Banking Security Frameworks, 5. Application of Blockchain-Driven Data Security in Smart Environments, 6. Blockchain Technology and AI's Significance for Cybersecurity in the Digital Economy, 7. Cyber-Physical System Integration Issues and Data Processing Platforms in the IoT Framework, 8. Internet of Things (IoT) Data Visualizations for Business Insight in Finance Industry, 9. Machine Learning-Based SOAR for Financial Institutions, 10. Financial Forecasting and Cybersecurity with Convolutional Neural Networks: Trends and Challenges, 11. AI Cybersecurity in Banking: Meeting Global Rules beyond EU AI Act with Trusted Service, 12. The Role of AI and Fintech in Strengthening Transnational Anti-Money Laundering Compliance, 13. Quantum Cybersecurity Technologies in Banking and Finance, 14. Anomaly Detection Driven by Machine Learning: Enhancing SIEM Tools for Sturdy Cyber Defense, 15. Artificial Intelligence (AI)-Powered Innovation in Mortgage Banking, 16. Application of Unified Payment Interface in Transforming the Digital Landscape of National Banking, 17. Generative AI: A Review of Continuous Evolving Information Generation Perspective, 18. Application of Artificial Intelligence in Cybersecurity, 19. Security Risks at the Software-Defined Networking Architecture and Infrastructure Layer, 20. Federated Blockchain-Based System for Managing Client Complaints, 21. Big Data Analytics for Fraud Detection in Financial Transactions, 22. Cloud and Cybersecurity for Banking and Finance Services, 23. Data Privacy Challenges and Innovations in the Metaverse Financial Ecosystem, 24. Opportunities, Issues, and Challenges of Artificial Intelligence in Cybersecurity
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