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anomaly detection (võtmesõna)

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Kirjeid leitud 11
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ekspordi kõik päringu tulemused (11)
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1

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
2

artikkel kogumikus

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

artikkel kogumikus
3

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 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

artikkel ajakirjas

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

artikkel ajakirjas
5

artikkel kogumikus EST / artikkel kogumikus 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

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
6

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis
7

artikkel kogumikus EST / artikkel kogumikus 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

artikkel kogumikus EST / artikkel kogumikus ENG
8

artikkel kogumikus

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 / p. 000159-000164 https://doi.org//10.1109/SAMI63904.2025.10883201

artikkel kogumikus
Seotud publikatsioonid 1
- Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
9

artikkel kogumikus

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

artikkel kogumikus
10

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
11

artikkel kogumikus EST / artikkel kogumikus 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

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 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

Kirjeid leitud 11, kuvan 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. detection
41. detection efficiency
42. detection engineering
43. detection mechanisms
44. detection method
45. detection methods
46. detection of anomalous end user nodes
47. detection of hydrogen isotopes
48. distributed detection
49. early detection
50. early intrusion detection
51. electronic warfare activity detection
52. energy detection
53. error detection
54. ESI-MS and IM detection
55. evaluation of explainable AI intrusion 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. harmonic detection
70. health care IoMT intrusion 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. intrusion detection
79. intrusion detection system (IDS)
80. intrusion detection systems
81. intrusion detection systems (IDS)
82. island detection
83. islanding detection
84. label-free detection
85. lane detection
86. lane line detection
87. LED fluorescence detection
88. leg detection
89. light detection and ranging
90. light detection and ranging (LiDAR)
91. Light Detection and Ranging (LiDAR) point cloud
92. limit of detection
93. lock-in detection
94. loop-closure detection
95. malware detection
96. marker detection
97. mobile malware detection
98. money laundering detection systems
99. monitoring and detection
100. multi-classed object detection
101. Multi-valued Simulation for Hazard Detection in Digital Circuits
102. mutant detection
103. network intrusion detection system
104. nodules detection
105. object detection
106. oil-spill detection
107. outlier’s detection methods
108. outliers detection
109. peak detection
110. photovoltaic fault detection algorithms
111. phytoplankton detection methods
112. plagiarism detection
113. position detection
114. precursor detection
115. propaganda detection
116. protein detection
117. proton detection
118. radar detection
119. ramp event detection
120. recycled FPGA detection
121. residual current detection
122. robust detection
123. scene text detection
124. short-circuit detection
125. Side-Channel Attack Detection
126. small molecule detection
127. speech activity detection
128. Suicidal ideation detection
129. synchronous detection
130. topic detection
131. tyre detection
132. unmanned aerial vehicle detection systems
133. unsupervised outlier detection
134. UV detection
135. vehicle detection
136. vortex detection
137. 3D lane detection

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