Computer Science

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