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book article EST / book article ENG

Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT NetworksRehman, Muaan Ur; Kalakoti, Rajesh; Bahsi, HayretdinProceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025). Vol. 22025 / p. 248-259 : ill https://www.scitepress.org/Papers/2025/133136/133136.pdf https://doi.org//10.5220/0013313600003899 Conference proceedings at Scopus Article at Scopus Journal metrics at WOS Article at WOS

book article EST / book article ENG
Related publications 1
- Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
2

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

book article
3

book article

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

book article
4

book article

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

book article
Related publications 1
- Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
5

journal article EST / journal article ENG

Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinComputer networks2025 / art. 111479, 23 p. : ill https://doi.org/10.1016/j.comnet.2025.111479 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Related publications 1
- Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
6

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

journal article EST / journal article ENG
Related publications 1
- Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
7

journal article EST / journal article ENG

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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8

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
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
9

journal article EST / journal article ENG

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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10

journal article EST / journal article ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Related publications 1
- Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
11

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
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 11, displaying 1 - 11

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 (IDS)
8. intrusion detection systems
9. intrusion detection systems (IDS)
10. network intrusion detection system
11. air intrusion
12. intrusion
13. intrusion response system
14. saline intrusion blockage
15. AI-based fault detection
16. amoxicillin detection
17. anomaly detection
18. anomaly detection for system logs
19. antibiotic detection
20. antibiotics detection
21. aspect detection
22. asynchronous fault detection
23. attack detection
24. barotrauma detection system
25. Barotrauma detection system sensors
26. body detection
27. botnet detection
28. capacitively coupled conductivity detection
29. change detection
30. chemical detection
31. community detection
32. compu ter-aided detection(CAD)
33. computer-aided detection
34. computer‐aided detection
35. contactless conductivity detection
36. contactless conductivity detection (C4D)
37. crack detection
38. crash detection
39. deepfake detection
40. defect detection
41. dementia detection
42. detection
43. detection efficiency
44. detection engineering
45. detection mechanisms
46. detection method
47. detection methods
48. detection of anomalous end user nodes
49. detection of hydrogen isotopes
50. distributed detection
51. early detection
52. electronic warfare activity detection
53. energy detection
54. error detection
55. ESI-MS and IM detection
56. Event detection
57. extraction and detection methods
58. face detection
59. Face Manipulation Detection
60. failure detection
61. fall detection
62. fault detection
63. fault detection and classification
64. fault detection and diagnoses
65. fault detection and diagnosis
66. fault detection and diagnostics (FDD)
67. Fish detection
68. fouling detection
69. hardware trojan detection
70. harmonic detection
71. hepatitis C virus (HCV) detection
72. hubs detection
73. hybrid fault detection
74. IED detection
75. image-based crack detection
76. indicident detection and response
77. indirect UV absorbance detection
78. island detection
79. islanding detection
80. label-free detection
81. lane detection
82. lane line detection
83. LED fluorescence detection
84. leg detection
85. light detection and ranging
86. light detection and ranging (LiDAR)
87. Light Detection and Ranging (LiDAR) point cloud
88. limit of detection
89. LLM-based template detection from security event logs
90. lock-in detection
91. loop-closure detection
92. malware detection
93. marker detection
94. mobile malware detection
95. molecular detection
96. money laundering detection systems
97. monitoring and detection
98. multi-classed object detection
99. Multi-valued Simulation for Hazard Detection in Digital Circuits
100. mutant detection
101. network anomaly detection
102. nodules detection
103. object detection
104. oil-spill detection
105. outlier’s detection methods
106. outliers detection
107. peak detection
108. photovoltaic fault detection algorithms
109. phytoplankton detection methods
110. plagiarism detection
111. position detection
112. precursor detection
113. propaganda detection
114. protein detection
115. proton detection
116. radar detection
117. ramp event detection
118. Real-time occupancy detection
119. recycled FPGA detection
120. residual current detection
121. robust detection
122. scene text detection
123. short-circuit detection
124. Side-Channel Attack Detection
125. signal anomaly detection
126. small molecule detection
127. speech activity detection
128. Suicidal ideation detection
129. synchronous detection
130. Template detection from event logs
131. topic detection
132. tyre detection
133. unmanned aerial vehicle detection systems
134. unsupervised outlier detection
135. UV detection
136. vehicle detection
137. vortex detection
138. 3D lane detection

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