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Number of records 11
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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 EST / book article ENG

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 : ill https://doi.org/10.1007/978-3-031-87290-7_7 Article collection at Scopus Book chapter at Scopus Book chapter at WOS

book article EST / book 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. anomaly detection
2. anomaly detection for system logs
3. network anomaly detection
4. signal anomaly detection
5. cerium anomaly europium anomaly
6. anomaly
7. Bouguer anomaly
8. Ce anomaly
9. cerium anomaly
10. europium anomaly
11. gravity anomaly
12. residual gravity anomaly
13. Residual Terrain Model (RTM) anomaly
14. residual terrain model anomaly
15. wind anomaly
16. AI-based fault detection
17. amoxicillin detection
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. behaviour-based intrusion detection systems
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. cyber intrusion 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. early intrusion detection
53. electronic warfare activity detection
54. energy detection
55. error detection
56. ESI-MS and IM detection
57. evaluation of explainable AI intrusion detection
58. Event detection
59. extraction and detection methods
60. face detection
61. Face Manipulation Detection
62. failure detection
63. fall detection
64. fault detection
65. fault detection and classification
66. fault detection and diagnoses
67. fault detection and diagnosis
68. fault detection and diagnostics (FDD)
69. Fish detection
70. fouling detection
71. hardware trojan detection
72. harmonic detection
73. health care IoMT intrusion detection
74. hepatitis C virus (HCV) detection
75. hubs detection
76. hybrid fault detection
77. IED detection
78. image-based crack detection
79. indicident detection and response
80. indirect UV absorbance detection
81. intrusion detection
82. intrusion detection system (IDS)
83. intrusion detection systems
84. intrusion detection systems (IDS)
85. island detection
86. islanding detection
87. label-free detection
88. lane detection
89. lane line detection
90. LED fluorescence detection
91. leg detection
92. light detection and ranging
93. light detection and ranging (LiDAR)
94. Light Detection and Ranging (LiDAR) point cloud
95. limit of detection
96. LLM-based template detection from security event logs
97. lock-in detection
98. loop-closure detection
99. malware detection
100. marker detection
101. mobile malware detection
102. molecular detection
103. money laundering detection systems
104. monitoring and detection
105. multi-classed object detection
106. Multi-valued Simulation for Hazard Detection in Digital Circuits
107. mutant detection
108. network intrusion detection system
109. nodules detection
110. object detection
111. oil-spill detection
112. outlier’s detection methods
113. outliers detection
114. peak detection
115. photovoltaic fault detection algorithms
116. phytoplankton detection methods
117. plagiarism detection
118. position detection
119. precursor detection
120. propaganda detection
121. protein detection
122. proton detection
123. radar detection
124. ramp event detection
125. Real-time occupancy detection
126. recycled FPGA detection
127. residual current detection
128. robust detection
129. scene text detection
130. short-circuit detection
131. Side-Channel Attack Detection
132. small molecule detection
133. speech activity detection
134. Suicidal ideation detection
135. synchronous detection
136. Template detection from event logs
137. topic detection
138. tyre detection
139. unmanned aerial vehicle detection systems
140. unsupervised outlier detection
141. UV detection
142. vehicle detection
143. vortex detection
144. 3D lane detection

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