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Number of records 11
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1

book article

AIS data analysis: reality in the Sea of EchosVisky, Gabor; Rohl, Alexander; Katsikas, Sokratis; Maennel, Olaf Manuel2024 IEEE 49th Conference on Local Computer Networks (LCN)2024 / 7 p https://doi.org/10.1109/LCN60385.2024.10639765 Article at Scopus Article at WOS

book article
Related publications 1
- Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
2

book article

Anomalous File System Activity detection through Temporal Association rule miningReza, M.; Iman, H.; Chikul, Pavel; Jervan, Gert; Bahsi, Hayretdin; Ghasempouri, TaraProceedings of the 9th International Conference on Information Systems Security and Privacy ICISSP. Vol. 12023 / p. 733-740 https://doi.org//10.5220/0000168400003405

book article
3

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
4

journal article

Novel real-time in-step gait anomaly detection algorithmsRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Le Moullec, Yannick; Alam, Muhammad Mahtabtechrxiv.org2024 https://doi.org/10.36227/techrxiv.171173236.66440239/v1

journal article
5

book article EST / book article ENG

Real-time gait anomaly detection using 1D-CNN and LSTMRostovski, Jakob; Ahmadilivani, Mohammad Hasan; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad MahtabDigital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II2024 / p. 260-278 https://doi.org/10.1007/978-3-031-59091-7_17 Conference proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
Related publications 1
- Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
6

book article

Real-time gait anomaly detection using SVM time series classificationRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad Mahtab; Ahmadov, Ulvi2023 International Wireless Communications and Mobile Computing (IWCMC)2023 / p. 1389-1394 https://doi.org/10.1109/IWCMC58020.2023.10182666

book article
Related publications 1
- Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
7

book article EST / book article ENG

Signature-based approach to detecting malicious outgoing trafficPetliak, Nataliia; Klots, Yurii; Titova, Vira; Cheshun, Viktor; Boyarchuk, ArtemIntelITSIS 2023: Intelligent Information Technologies & Systems of Information Security 2023 : proceedings of the 4th International Workshop on Intelligent Information Technologies & Systems of Information Security : Khmelnytskyi, Ukraine, March 22-24, 20232023 / p. 486 - 506 https://ceur-ws.org/Vol-3373/paper33.pdf Conference Proceedings at Scopus Article at Scopus

book article EST / book article ENG
8

book article

Statistical Analysis-Based Feature Selection for Anomaly Detection in AIS DatasetVisky, Gabor; Vaarandi, Risto; Katsikas, Sokratis; Maennel, Olaf Manuel2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI)2025 / 6 p. : ill https://doi.org//10.1109/SAMI63904.2025.10883201 Conference proceedings at Scopus Article at Scopus

book article
Related publications 1
- Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
9

book article

Unsupervised anomaly based botnet detection in IoT networksNõmm, Sven; Bahsi, Hayretdin17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings2018 / p. 1048-1053 https://doi.org/10.1109/ICMLA.2018.00171

book article
10

book article

Using Incremental Inductive Logic Programming for Learning Spoofing Attacks on Maritime Automatic Identification System DataBenterki, Aboubaker Seddiq; Visky, Gabor; Vain, Jüri; Tsiopoulos, LeonidasMaritime Cybersecurity2025 / p. 123-141 https://doi.org/10.1007/978-3-031-87290-7_7

book article
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. anomaly detection
2. anomaly detection for system logs
3. network anomaly detection
4. cerium anomaly europium anomaly
5. anomaly
6. Bouguer anomaly
7. Ce anomaly
8. cerium anomaly
9. europium anomaly
10. gravity anomaly
11. residual gravity anomaly
12. Residual Terrain Model (RTM) anomaly
13. residual terrain model anomaly
14. wind anomaly
15. AI-based fault detection
16. amoxicillin detection
17. antibiotic detection
18. antibiotics detection
19. aspect detection
20. asynchronous fault detection
21. attack detection
22. barotrauma detection system
23. Barotrauma detection system sensors
24. behaviour-based intrusion detection systems
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. cyber intrusion 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. early intrusion detection
52. electronic warfare activity detection
53. energy detection
54. error detection
55. ESI-MS and IM detection
56. evaluation of explainable AI intrusion detection
57. Event detection
58. extraction and detection methods
59. face detection
60. Face Manipulation Detection
61. failure detection
62. fall detection
63. fault detection
64. fault detection and classification
65. fault detection and diagnoses
66. fault detection and diagnosis
67. fault detection and diagnostics (FDD)
68. Fish detection
69. fouling detection
70. hardware trojan detection
71. harmonic detection
72. health care IoMT intrusion detection
73. hepatitis C virus (HCV) detection
74. hubs detection
75. hybrid fault detection
76. IED detection
77. image-based crack detection
78. indicident detection and response
79. indirect UV absorbance detection
80. intrusion detection
81. intrusion detection system (IDS)
82. intrusion detection systems
83. intrusion detection systems (IDS)
84. island detection
85. islanding detection
86. label-free detection
87. lane detection
88. lane line detection
89. LED fluorescence detection
90. leg detection
91. light detection and ranging
92. light detection and ranging (LiDAR)
93. Light Detection and Ranging (LiDAR) point cloud
94. limit of detection
95. LLM-based template detection from security event logs
96. lock-in detection
97. loop-closure detection
98. malware detection
99. marker detection
100. mobile malware detection
101. molecular detection
102. money laundering detection systems
103. monitoring and detection
104. multi-classed object detection
105. Multi-valued Simulation for Hazard Detection in Digital Circuits
106. mutant detection
107. network intrusion detection system
108. nodules detection
109. object detection
110. oil-spill detection
111. outlier’s detection methods
112. outliers detection
113. peak detection
114. photovoltaic fault detection algorithms
115. phytoplankton detection methods
116. plagiarism detection
117. position detection
118. precursor detection
119. propaganda detection
120. protein detection
121. proton detection
122. radar detection
123. ramp event detection
124. recycled FPGA detection
125. residual current detection
126. robust detection
127. scene text detection
128. short-circuit detection
129. Side-Channel Attack Detection
130. small molecule detection
131. speech activity detection
132. Suicidal ideation detection
133. synchronous detection
134. Template detection from event logs
135. topic detection
136. tyre detection
137. unmanned aerial vehicle detection systems
138. unsupervised outlier detection
139. UV detection
140. vehicle detection
141. vortex detection
142. 3D lane detection

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