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botnet detection (keyword)

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journal article EST / journal article ENG

On the application of active learning for efficient and effective Iot botnet detectionGuerra Manzanares, Alejandro; Bahsi, HayretdinFuture Generation Computer Systems2023 / p. 40-53 : ill https://doi.org/10.1016/j.future.2022.10.024 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Seotud publikatsioonid 1
- Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
2

book article

Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings2019 / p. 1162-1169 : ill https://doi.org/10.1109/ICMLA.2019.00193

book article
Seotud publikatsioonid 1
- Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks

Number of records 2, displaying 1 - 2

1. botnet detection
2. botnet
3. botnet attack
4. iot botnet
5. amoxicillin detection
6. anomaly detection
7. anomaly detection for system logs
8. antibiotic detection
9. antibiotics detection
10. aspect detection
11. asynchronous fault detection
12. attack detection
13. barotrauma detection system
14. body detection
15. capacitively coupled conductivity detection
16. change detection
17. chemical detection
18. community detection
19. compu ter-aided detection(CAD)
20. computer-aided detection
21. computer‐aided detection
22. contactless conductivity detection
23. contactless conductivity detection (C4D)
24. crash detection
25. cyber intrusion detection
26. defect detection
27. detection
28. detection efficiency
29. detection engineering
30. detection of anomalous end user nodes
31. detection of hydrogen isotopes
32. distributed detection
33. early detection
34. early intrusion detection
35. energy detection
36. error detection
37. ESI-MS and IM detection
38. Event detection
39. extraction and detection methods
40. face detection
41. Face Manipulation Detection
42. failure detection
43. fall detection
44. fault detection
45. fault detection and diagnoses
46. fault detection and diagnosis
47. Fish detection
48. fouling detection
49. harmonic detection
50. hepatitis C virus (HCV) detection
51. hubs detection
52. IED detection
53. indicident detection and response
54. indirect UV absorbance detection
55. intrusion detection
56. intrusion detection system (IDS)
57. intrusion detection systems
58. island detection
59. islanding detection
60. label-free detection
61. LED fluorescence detection
62. leg detection
63. light detection and ranging
64. Light Detection and Ranging (LiDAR) point cloud
65. limit of detection
66. lock-in detection
67. loop-closure detection
68. malware detection
69. marker detection
70. mobile malware detection
71. money laundering detection systems
72. monitoring and detection
73. multi-classed object detection
74. mutant detection
75. network anomaly detection
76. nodules detection
77. object detection
78. oil-spill detection
79. outlier’s detection methods
80. outliers detection
81. peak detection
82. plagiarism detection
83. position detection
84. protein detection
85. proton detection
86. radar detection
87. ramp event detection
88. recycled FPGA detection
89. robust detection
90. scene text detection
91. short-circuit detection
92. small molecule detection
93. speech activity detection
94. Suicidal ideation detection
95. synchronous detection
96. tyre detection
97. unmanned aerial vehicle detection systems
98. unsupervised outlier detection
99. UV detection
100. vehicle detection
101. vortex detection
102. 3D lane detection

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