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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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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

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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. evaluation of explainable AI intrusion detection
5. health care IoMT intrusion detection
6. intrusion detection
7. intrusion detection system
8. intrusion detection system (IDS)
9. intrusion detection systems
10. network intrusion detection system
11. air intrusion
12. intrusion
13. intrusion response system
14. saline intrusion blockage
15. amoxicillin detection
16. anomaly detection
17. anomaly detection for system logs
18. antibiotic detection
19. antibiotics detection
20. aspect detection
21. asynchronous fault detection
22. attack detection
23. barotrauma detection system
24. Barotrauma detection system sensors
25. body detection
26. botnet detection
27. capacitively coupled conductivity detection
28. change detection
29. chemical detection
30. community detection
31. compu ter-aided detection(CAD)
32. computer-aided detection
33. computer‐aided detection
34. contactless conductivity detection
35. contactless conductivity detection (C4D)
36. crack detection
37. crash detection
38. defect detection
39. detection
40. detection efficiency
41. detection engineering
42. detection mechanisms
43. detection method
44. detection methods
45. detection of anomalous end user nodes
46. detection of hydrogen isotopes
47. distributed detection
48. early detection
49. energy detection
50. error detection
51. ESI-MS and IM detection
52. Event detection
53. extraction and detection methods
54. face detection
55. Face Manipulation Detection
56. failure detection
57. fall detection
58. fault detection
59. fault detection and diagnoses
60. fault detection and diagnosis
61. Fish detection
62. fouling detection
63. harmonic detection
64. hepatitis C virus (HCV) detection
65. hubs detection
66. IED detection
67. image-based crack detection
68. indicident detection and response
69. indirect UV absorbance detection
70. island detection
71. islanding detection
72. label-free detection
73. lane detection
74. lane line detection
75. LED fluorescence detection
76. leg detection
77. light detection and ranging
78. light detection and ranging (LiDAR)
79. Light Detection and Ranging (LiDAR) point cloud
80. limit of detection
81. lock-in detection
82. loop-closure detection
83. malware detection
84. marker detection
85. mobile malware detection
86. money laundering detection systems
87. monitoring and detection
88. multi-classed object detection
89. Multi-valued Simulation for Hazard Detection in Digital Circuits
90. mutant detection
91. network anomaly detection
92. nodules detection
93. object detection
94. oil-spill detection
95. outlier’s detection methods
96. outliers detection
97. peak detection
98. phytoplankton detection methods
99. plagiarism detection
100. position detection
101. precursor detection
102. protein detection
103. proton detection
104. radar detection
105. ramp event detection
106. recycled FPGA detection
107. residual current detection
108. robust detection
109. scene text detection
110. short-circuit detection
111. small molecule detection
112. speech activity detection
113. Suicidal ideation detection
114. synchronous detection
115. topic detection
116. tyre detection
117. unmanned aerial vehicle detection systems
118. unsupervised outlier detection
119. UV detection
120. vehicle detection
121. vortex detection
122. 3D lane detection

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