Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications

Part I: Intelligent Cybersecurity and Resilience: Challenges and Applications 1. AI-Driven Threat Management in Healthcare Systems 2. Practical Use of AI for Cyber Risk Management in Critical Infrastructures: A Review 3. Fraud Detection in Decentralized Autonomous Organization (DAO) with Machine Learning 4. Improving Machine Learning Performance Using Sampling Techniques for COVID-19 Imbalanced Data Part II: Cybersecurity Challenges and Resilience in Healthcare and Industrial Domains 5. Penetration Testing in Operations Technology and SCADA Environments 6. Cyber-attacks in Healthcare: Analyzing Recent Trends and Preventive Measures 7. Enhancing Cyber Resilience: A Study of Red Teaming within Operational Technology Domains 8. Demystifying the Role of Publicly Available Up-to-date Benchmark Intrusion Datasets: A Case Study of Web Security Part III: Advanced Technologies for Cybersecurity and Privacy 9. Advancing Blockchain Privacy: The Role of Homomorphic Encryption 10. Developing a Big Data Infrastructure: Integral Modules and Best Procedures for Alleviating Security and Privacy Challenges 11. Evaluation of the Performance of Pattern Search and Genetic Algorithms for Enhancing the Lifetime of WSNs

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Segurança do computador
• Aspectos jurídicos da Tecnologia Informática
• Engenharia do controlo automático
• Inteligência artificial

Cybersecurity;Machine Learning;Artificial Intelligence