Items related to Handbook of Big Data Privacy
Synopsis
1. Big Data and Privacy : Challenges and Opportunities.- 2. AI and Security of Critical Infrastructure.- 3. Industrial Big Data Analytics: Challenges and Opportunities.- 4. A Privacy Protection Key Agreement Protocol Based on ECC for Smart Grid.- 5. Applications of Big Data Analytics and Machine Learning in the Internet of Things.- 6. A Comparison of State-of-the-art Machine Learning Models for OpCode-Based IoT Malware Detection.- 7. Artificial Intelligence and Security of Industrial Control Systems.- 8. Enhancing Network Security via Machine Learning: Opportunities and Challenges.- 9. Network Security and Privacy Evaluation Scheme for Cyber Physical Systems (CPS).- 10. Anomaly Detection in Cyber-Physical Systems Using Machine Learning.- 11. Big Data Application for Security of Renewable Energy Resources.- 12. Big-Data and Cyber-Physical Systems in Healthcare: Challenges and Opportunities.- 13. Privacy Preserving Abnormality Detection: A Deep Learning Approach.-14. Privacy and Security in Smart and Precision Farming: A Bibliometric Analysis.- 15. A Survey on Application of Big Data in Fin Tech Banking Security and Privacy.- 16. A Hybrid Deep Generative Local Metric Learning Method For Intrusion Detection.- 17. Malware elimination impact on dynamic analysis: An experimental machine learning approach.- 18. RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features.- 19. Active Spectral Botnet Detection based on Eigenvalue Weighting.-
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