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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

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 article
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

journal article EST / journal article ENG
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

journal article EST / journal article ENG
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. defect detection
40. dementia detection
41. detection
42. detection efficiency
43. detection engineering
44. detection mechanisms
45. detection method
46. detection methods
47. detection of anomalous end user nodes
48. detection of hydrogen isotopes
49. distributed detection
50. early detection
51. electronic warfare activity detection
52. energy detection
53. error detection
54. ESI-MS and IM detection
55. Event detection
56. extraction and detection methods
57. face detection
58. Face Manipulation Detection
59. failure detection
60. fall detection
61. fault detection
62. fault detection and classification
63. fault detection and diagnoses
64. fault detection and diagnosis
65. fault detection and diagnostics (FDD)
66. Fish detection
67. fouling detection
68. hardware trojan detection
69. harmonic detection
70. hepatitis C virus (HCV) detection
71. hubs detection
72. hybrid fault detection
73. IED detection
74. image-based crack detection
75. indicident detection and response
76. indirect UV absorbance detection
77. island detection
78. islanding detection
79. label-free detection
80. lane detection
81. lane line detection
82. LED fluorescence detection
83. leg detection
84. light detection and ranging
85. light detection and ranging (LiDAR)
86. Light Detection and Ranging (LiDAR) point cloud
87. limit of detection
88. LLM-based template detection from security event logs
89. lock-in detection
90. loop-closure detection
91. malware detection
92. marker detection
93. mobile malware detection
94. money laundering detection systems
95. monitoring and detection
96. multi-classed object detection
97. Multi-valued Simulation for Hazard Detection in Digital Circuits
98. mutant detection
99. network anomaly detection
100. nodules detection
101. object detection
102. oil-spill detection
103. outlier’s detection methods
104. outliers detection
105. peak detection
106. photovoltaic fault detection algorithms
107. phytoplankton detection methods
108. plagiarism detection
109. position detection
110. precursor detection
111. propaganda detection
112. protein detection
113. proton detection
114. radar detection
115. ramp event detection
116. recycled FPGA detection
117. residual current detection
118. robust detection
119. scene text detection
120. short-circuit detection
121. Side-Channel Attack Detection
122. small molecule detection
123. speech activity detection
124. Suicidal ideation detection
125. synchronous detection
126. Template detection from event logs
127. topic detection
128. tyre detection
129. unmanned aerial vehicle detection systems
130. unsupervised outlier detection
131. UV detection
132. vehicle detection
133. vortex detection
134. 3D lane detection

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