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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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Explainable federated learning for Botnet Detection in IoT networksKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), September 2-4, 2024, London, UK2024 / p. 22-29 https://doi.org/10.1109/CSR61664.2024.10679348 Article at Scopus Article at WOS

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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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5

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LSPR23: A novel IDS dataset from the largest live-fire cybersecurity exerciseDijk, Allard; Halisdemir, Emre; Melella, Cosimo; Schu, Alari; Pihelgas, Mauno; Meier, RolandJournal of Information Security and Applications2024 / art. 103847, 14, p. : ill https://doi.org/10.1016/j.jisa.2024.103847 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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

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Related publications 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
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Stream clustering guided supervised learning for classifying NIDS alertsVaarandi, Risto; Guerra Manzanares, AlejandroFuture generation computer systems2024 / p. 231-244 : ill https://doi.org/10.1016/j.future.2024.01.032 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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8

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A systematic literature review of cyber security monitoring in maritimeVaarandi, Risto; Tsiopoulos, Leonidas; Visky, Gabor; Rehman, Muaan Ur; Bahsi, HayretdinIEEE Access2025 / p. 85307-85329 https://doi.org/10.1109/ACCESS.2025.3567385

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9

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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
Related publications 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 9, displaying 1 - 9

1. behaviour-based intrusion detection systems
2. cyber intrusion detection
3. early intrusion detection
4. intrusion detection
5. intrusion detection system
6. intrusion detection system (IDS)
7. intrusion detection systems
8. network intrusion detection system
9. air intrusion
10. intrusion
11. intrusion response system
12. saline intrusion blockage
13. amoxicillin detection
14. anomaly detection
15. anomaly detection for system logs
16. antibiotic detection
17. antibiotics detection
18. aspect detection
19. asynchronous fault detection
20. attack detection
21. barotrauma detection system
22. body detection
23. botnet detection
24. capacitively coupled conductivity detection
25. change detection
26. chemical detection
27. community detection
28. compu ter-aided detection(CAD)
29. computer-aided detection
30. computer‐aided detection
31. contactless conductivity detection
32. contactless conductivity detection (C4D)
33. crack detection
34. crash detection
35. defect detection
36. detection
37. detection efficiency
38. detection engineering
39. detection method
40. detection methods
41. detection of anomalous end user nodes
42. detection of hydrogen isotopes
43. distributed detection
44. early detection
45. energy detection
46. error detection
47. ESI-MS and IM detection
48. Event detection
49. extraction and detection methods
50. face detection
51. Face Manipulation Detection
52. failure detection
53. fall detection
54. fault detection
55. fault detection and diagnoses
56. fault detection and diagnosis
57. Fish detection
58. fouling detection
59. harmonic detection
60. hepatitis C virus (HCV) detection
61. hubs detection
62. IED detection
63. image-based crack detection
64. indicident detection and response
65. indirect UV absorbance detection
66. island detection
67. islanding detection
68. label-free detection
69. lane detection
70. LED fluorescence detection
71. leg detection
72. light detection and ranging
73. light detection and ranging (LiDAR)
74. Light Detection and Ranging (LiDAR) point cloud
75. limit of detection
76. lock-in detection
77. loop-closure detection
78. malware detection
79. marker detection
80. mobile malware detection
81. money laundering detection systems
82. monitoring and detection
83. multi-classed object detection
84. Multi-valued Simulation for Hazard Detection in Digital Circuits
85. mutant detection
86. network anomaly detection
87. nodules detection
88. object detection
89. oil-spill detection
90. outlier’s detection methods
91. outliers detection
92. peak detection
93. phytoplankton detection methods
94. plagiarism detection
95. position detection
96. precursor detection
97. protein detection
98. proton detection
99. radar detection
100. ramp event detection
101. recycled FPGA detection
102. residual current detection
103. robust detection
104. scene text detection
105. short-circuit detection
106. small molecule detection
107. speech activity detection
108. Suicidal ideation detection
109. synchronous detection
110. tyre detection
111. unmanned aerial vehicle detection systems
112. unsupervised outlier detection
113. UV detection
114. vehicle detection
115. vortex detection
116. 3D lane detection

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