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anomaly detection (võtmesõna)

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Kirjeid leitud 10
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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

artikkel kogumikus
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

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
9

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
10

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 10, kuvan 1 - 10

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. amoxicillin detection
16. antibiotic detection
17. antibiotics detection
18. aspect detection
19. asynchronous fault detection
20. attack detection
21. barotrauma detection system
22. behaviour-based intrusion detection systems
23. body detection
24. botnet detection
25. capacitively coupled conductivity detection
26. change detection
27. chemical detection
28. community detection
29. compu ter-aided detection(CAD)
30. computer-aided detection
31. computer‐aided detection
32. contactless conductivity detection
33. contactless conductivity detection (C4D)
34. crack detection
35. crash detection
36. cyber intrusion detection
37. defect detection
38. detection
39. detection efficiency
40. detection engineering
41. detection method
42. detection methods
43. detection of anomalous end user nodes
44. detection of hydrogen isotopes
45. distributed detection
46. early detection
47. early intrusion detection
48. energy detection
49. error detection
50. ESI-MS and IM detection
51. Event detection
52. extraction and detection methods
53. face detection
54. Face Manipulation Detection
55. failure detection
56. fall detection
57. fault detection
58. fault detection and diagnoses
59. fault detection and diagnosis
60. Fish detection
61. fouling detection
62. harmonic detection
63. hepatitis C virus (HCV) detection
64. hubs detection
65. IED detection
66. image-based crack detection
67. indicident detection and response
68. indirect UV absorbance detection
69. intrusion detection
70. intrusion detection system
71. intrusion detection system (IDS)
72. intrusion detection systems
73. island detection
74. islanding detection
75. label-free detection
76. lane detection
77. LED fluorescence detection
78. leg detection
79. light detection and ranging
80. light detection and ranging (LiDAR)
81. Light Detection and Ranging (LiDAR) point cloud
82. limit of detection
83. lock-in detection
84. loop-closure detection
85. malware detection
86. marker detection
87. mobile malware detection
88. money laundering detection systems
89. monitoring and detection
90. multi-classed object detection
91. Multi-valued Simulation for Hazard Detection in Digital Circuits
92. mutant detection
93. network intrusion detection system
94. nodules detection
95. object detection
96. oil-spill detection
97. outlier’s detection methods
98. outliers detection
99. peak detection
100. phytoplankton detection methods
101. plagiarism detection
102. position detection
103. precursor detection
104. protein detection
105. proton detection
106. radar detection
107. ramp event detection
108. recycled FPGA detection
109. residual current detection
110. robust detection
111. scene text detection
112. short-circuit detection
113. small molecule detection
114. speech activity detection
115. Suicidal ideation detection
116. synchronous detection
117. tyre detection
118. unmanned aerial vehicle detection systems
119. unsupervised outlier detection
120. UV detection
121. vehicle detection
122. vortex detection
123. 3D lane detection

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