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book article

Deep learning-based detection of cyberattacks in software-defined networksMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Inbouli, WissemDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 341-354 https://doi.org/10.1007/978-3-031-36574-4_20

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Dimensionality reduction for machine learning based IoT botnet detectionBahsi, Hayretdin; Nõmm, Sven15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 20182018 / p. 1857-1862 : ill https://doi.org/10.1109/ICARCV.2018.8581205

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journal article EST / journal article ENG

In-depth feature selection for the statistical machine learning-based botnet detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinIEEE Access2022 / p. 94518-94535 https://doi.org/10.1109/ACCESS.2022.3204001 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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4

book article

MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT networkGuerra Manzanares, Alejandro; Medina-Galindo, Jorge; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 6th International Conference on Information Systems Security and Privacy, ICISSP : February 25-27, 2020, La Valletta, Malta. Vol. 12020 / p. 207-218 : ill https://doi.org/10.5220/0009187802070218

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
5

book article EST / book article ENG

Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systemsGuerra Manzanares, Alejandro; Medina-Galindo, Jorge; Bahsi, Hayretdin; Nõmm, SvenInformation Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers2022 / p. 222–243 https://doi.org/10.1007/978-3-030-94900-6_11 Conference proceedings at Scopus Article at Scopus Article at WOS

book article EST / book 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

Number of records 5, displaying 1 - 5

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

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