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· 분류 : 외국도서 > 기술공학 > 기술공학 > 운영분석
· ISBN : 9781032859743
· 쪽수 : 388쪽
· 출판일 : 2025-06-11
목차
1. Understanding AI and Machine Learning in Security.? 2.?Data Collection and Preprocessing for Security.? 3.?Feature Engineering for Threat Detection.? 4.?Anomaly Detection with Artificial Intelligence.? 5. Signature-based Security in Wireless Communication.? 6.?Behavioral Analysis for Threat Detection.? 7.?Network Security with Artificial Intelligence.? 8.?Endpoint Security and Artificial Intelligence in the Financial Sector.? 9.??Cloud Security and Artificial Intelligence.? 10.?Adversarial Attacks on AI Security Systems.? 11.?Ethical Considerations and Privacy in Artificial Intelligence-Powered Security Systems.? 12.?Artificial Intelligence in Financial Fraud Detection.? 13.?Graph-based Intelligent Cyber Threat Detection System.? 14.?Future Trends in Artificial Intelligence-Driven Security.? 15.?Enhancing Cybersecurity with Distributed Models and Sparse Mixture of Experts.? 16.?Anomaly Detection in SIEM Data: User Behavior Analysis with Artificial Intelligence.? 17.?AI-Driven Security System for Biometric Surveillance.? 18.?AI-Powered Predictive Analysis for Proactive Cyber Defense.? 19.?Deep Learning Techniques for Intrusion Detection in Critical Infrastructure.? 20.?Quantum Computing and AI Synergies: Strengthening Cybersecurity Resilience.? 21.?Integrating AI with Blockchain for Decentralized Security and Threat Prevention.














