A novel Framework for Intrusion Detection System using Deep Learning models

Computer Science

1. Feature Selection 100%
2. Deep Learning Model 100%
3. Intrusion Detection System 100%
4. Feature Extraction 62%
5. Internet-Of-Things 17%
6. Information Technology 14%
7. Searching Algorithm 14%
8. Mutual Information 11%
9. Detection Rate 11%
10. Artificial Intelligence 11%
11. Learning System 8%
12. Machine Learning 8%
13. Logistic Regression 8%
14. Detection Process 8%
15. Network Intrusion Detection System 8%
16. False Positive Rate 8%
17. Support Vector Machine 5%
18. Decision Tree 5%
19. False Negative 5%
20. Intrusion Detection 5%
21. Nave Bayes 5%
22. Anomaly Detection 5%
23. Connected Device 5%
24. Random Decision Forest 5%
25. Detect Anomaly 5%
26. Hybrid Approach 5%
27. Industrial Internet of Things 5%
28. Selection Method 5%
29. Internet of Medical Things 5%
30. Processing Time 5%
31. Security Aspect 5%
32. Research Direction 5%
33. Leaning Parameter 5%
34. Information Security 5%
35. Network Traffic 5%
36. Data Cleaning 5%
37. Machine Learning Model 5%