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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. deepfake detection
41. defect detection
42. dementia detection
43. detection
44. detection efficiency
45. detection engineering
46. detection mechanisms
47. detection method
48. detection methods
49. detection of anomalous end user nodes
50. detection of hydrogen isotopes
51. distributed detection
52. early detection
53. early intrusion detection
54. electronic warfare activity detection
55. energy detection
56. error detection
57. ESI-MS and IM detection
58. evaluation of explainable AI intrusion detection
59. Event detection
60. extraction and detection methods
61. face detection
62. Face Manipulation Detection
63. failure detection
64. fall detection
65. fault detection
66. fault detection and classification
67. fault detection and diagnoses
68. fault detection and diagnosis
69. fault detection and diagnostics (FDD)
70. Fish detection
71. fouling detection
72. hardware trojan detection
73. harmonic detection
74. health care IoMT intrusion detection
75. hepatitis C virus (HCV) detection
76. hubs detection
77. hybrid fault detection
78. IED detection
79. image-based crack detection
80. indicident detection and response
81. indirect UV absorbance detection
82. intrusion detection
83. intrusion detection system (IDS)
84. intrusion detection systems
85. intrusion detection systems (IDS)
86. island detection
87. islanding detection
88. label-free detection
89. lane detection
90. lane line detection
91. LED fluorescence detection
92. leg detection
93. light detection and ranging
94. light detection and ranging (LiDAR)
95. Light Detection and Ranging (LiDAR) point cloud
96. limit of detection
97. LLM-based template detection from security event logs
98. lock-in detection
99. loop-closure detection
100. malware detection
101. marker detection
102. mobile malware detection
103. molecular detection
104. money laundering detection systems
105. monitoring and detection
106. multi-classed object detection
107. Multi-valued Simulation for Hazard Detection in Digital Circuits
108. mutant detection
109. network intrusion detection system
110. nodules detection
111. object detection
112. oil-spill detection
113. outlier’s detection methods
114. outliers detection
115. peak detection
116. photovoltaic fault detection algorithms
117. phytoplankton detection methods
118. plagiarism detection
119. position detection
120. precursor detection
121. propaganda detection
122. protein detection
123. proton detection
124. radar detection
125. ramp event detection
126. Real-time occupancy detection
127. recycled FPGA detection
128. residual current detection
129. robust detection
130. scene text detection
131. short-circuit detection
132. Side-Channel Attack Detection
133. small molecule detection
134. speech activity detection
135. Suicidal ideation detection
136. synchronous detection
137. Template detection from event logs
138. topic detection
139. tyre detection
140. unmanned aerial vehicle detection systems
141. unsupervised outlier detection
142. UV detection
143. vehicle detection
144. vortex detection
145. 3D lane detection

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