Leveraging Artificial Intelligence for Cybersecurity Enhancement in Critical Infrastructure: A Focus on Energy and Industry Sectors

Computer Science

1. Industry Sector 100%
2. Cybersecurity 100%
3. Artificial Intelligence 100%
4. Critical Infrastructure 100%
5. Industrial Control System 43%
6. Cyber Attack 37%
7. Anomaly Detection 18%
8. Cybersecurity Framework 12%
9. Deep Learning Model 12%
10. Big Data 12%
11. Machine Learning Model 12%
12. Learning System 6%
13. Machine Learning 6%
14. Technology Intelligence 6%
15. Denial-of-Service Attack 6%
16. Recurrent Neural Network 6%
17. Supervised Learning 6%
18. Deep Learning Method 6%
19. Data Preprocessing 6%
20. Convolutional Neural Network 6%
21. Sensor Network 6%
22. Classification Task 6%
23. Identified Threat 6%
24. Future Generation 6%
25. Information Technology 6%
26. Simulated Environment 6%
27. Adaptive System 6%
28. Response Time 6%
29. Ensemble Method 6%
30. Detection Accuracy 6%
31. Random Decision Forest 6%
32. Traditional Method 6%
33. Deep Learning Technique 6%
34. Complex Pattern 6%
35. Intrusion Detection System 6%
36. Extreme Gradient Boosting 6%
37. Security Framework 6%
38. Artificial Intelligence Model 6%
39. Feasible Solution 6%
40. Unsupervised Learning 6%
41. Infrastructure System 6%
42. Computer System 6%
43. Industrial Environment 6%
44. Learning Technique 6%
45. Decision-Making 6%
46. Performance Metric 6%
47. Model Development 6%
48. Industrial Internet of Things 6%
49. Security Posture 6%
50. Early Detection 6%
51. Critical Infrastructure Protection 6%
52. Growing Complexity 6%
53. Security Breach 6%
54. Deep Neural Network 6%
55. False Positive Rate 6%
56. Digital Twin Technology 6%
57. Response System 6%