KCL Cybersecurity Centre

Computer Science

1. User 100%
2. Models 27%
3. Machine Learning 24%
4. Evaluation 23%
5. Personal Assistant 21%
6. Contexts 21%
7. Attack 20%
8. Security and Privacy 20%
9. Social Media 18%
10. Malware 17%
11. Algorithms 17%
12. Detection 16%
13. Artificial Intelligence 16%
14. Application 14%
15. Online Social Networks 13%
16. Utilities 13%
17. Classification 12%
18. Concept Drift 12%
19. Threat 12%
20. Networks 12%
21. Attackers 11%
22. User Privacy 11%
23. Privacy Policies 10%
24. Cyber 10%
25. Android Malware 9%
26. Roles 9%
27. Decision-Making 9%
28. Formal Analysis 9%
29. Practical Reasoning 9%
30. Domains 8%
31. Classifier 8%
32. Programs 8%
33. Accuracy 7%
34. Internet of Things 7%
35. Automated Analysis 7%
36. Privacy Preference 7%
37. Functionality 6%
38. Access Control 6%
39. Survey 6%
40. Design 6%
41. Electronics 6%
42. Malware Family 6%
43. Multi-Access Edge Computing 6%
44. Responsible Disclosure 6%
45. Privacy Practice 6%
46. Network Traffic 6%
47. Blockchain 6%
48. Dialogue 6%
49. Security Protocol 6%
50. Messages 6%
51. Based Malware Detection 6%
52. Adversarial Machine Learning 6%
53. Explainable Artificial Intelligence 5%
54. Transformations 5%
55. Android 5%
56. Testing 5%
57. Malware Detection 5%
58. Real World 5%
59. Events 5%
60. Usability 5%
61. Personal Information 5%
62. Third Party Developer 5%
63. Encryption 5%
64. Botnets 5%