Computer Science

1. Honeypots 100%
2. Network Traffic 87%
3. Learning System 64%
4. Machine Learning 64%
5. Intrusion Detection 61%
6. Random Decision Forest 54%
7. Intrusion Detection System 53%
8. Attackers 49%
9. Network Intrusion Detection System 48%
10. Machine Learning Algorithm 46%
11. Network Intrusion 46%
12. Decision Trees 44%
13. network intrusion detection 42%
14. Timeline Analysis 40%
15. Autoencoder 40%
16. Comparative Analysis 40%
17. Detection Algorithm 40%
18. Experimental Result 33%
19. Forensic Image 30%
20. Web Application 28%
21. Cybersecurity 27%
22. Network Based Intrusion Detection System 26%
23. Deep Learning Method 26%
24. Structured Query Language 25%
25. Anomaly Detection 24%
26. Nave Bayes 24%
27. Training Data 24%
28. Class Imbalance 24%
29. Support Vector Machine 23%
30. False Positive Rate 21%
31. Gradient Boosting 20%
32. Load Balancing 20%
33. Reinforcement Learning 20%
34. Recurrent Neural Network 20%
35. Attackers Identity 20%
36. Genetic Algorithm 20%
37. Network Infrastructure 20%
38. near neighbor query 20%
39. Change Management 20%
40. Time Series Data 20%
41. Brute Force Attack 20%
42. Ensemble Method 20%
43. Speech Detection 20%
44. Prevention System 20%
45. Raspberry Pi 20%
46. Event Reconstruction 20%
47. Client Application 20%
48. Digital Forensic Examiner 20%
49. Entity Recognition 20%
50. Cloud Computing 20%