Chun Shan

Computer Science

1. And-States 20%
2. Anomaly Detection 40%
3. Assessment Method 20%
4. Attackers 20%
5. Attention (Machine Learning) 30%
6. Classification Framework 20%
7. Classification Tree 20%
8. Classifier 33%
9. Complex Networks 80%
10. Cross-Site Scripting 20%
11. Cyberattack 20%
12. Deep Learning 40%
13. Deep Neural Network 26%
14. Defect Prediction 80%
15. Degree Distribution 20%
16. Detection Method 50%
17. Embedded Support 20%
18. Evaluation Index 23%
19. Experimental Result 59%
20. Interprocedural Analysis 20%
21. Intrusion Detection 20%
22. Knowledge Database 20%
23. local feature 28%
24. Machine Learning 21%
25. Malicious Code Analysis 20%
26. Malware 75%
27. Malware Family 20%
28. Matching Algorithm 20%
29. Multiple Instance 20%
30. Network Community 20%
31. Network Protocols 20%
32. Network Structures 20%
33. Practical Significance 20%
34. Prediction Model 60%
35. Principal Components 20%
36. Publishing Software 20%
37. Random Decision Forest 33%
38. Recursive Function Call 20%
39. Security Detection 21%
40. Security Manager 20%
41. Security Researcher 20%
42. Semisupervised Learning 25%
43. Software Defect 100%
44. Software Security 27%
45. Software Systems 51%
46. Support Vector Machine 59%
47. Support Vector Machine 53%
48. Target Environment 20%
49. Vulnerability Detection 40%
50. Vulnerability Knowledge 20%