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anomaly detection (võtmesõna)

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Kirjeid leitud 8
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ekspordi kõik päringu tulemused (8)
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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

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
3

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
4

artikkel kogumikus

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

artikkel kogumikus
5

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

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6

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
7

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
8

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 8, kuvan 1 - 8

1. anomaly detection
2. anomaly detection for system logs
3. network anomaly detection
4. anomaly
5. Bouguer anomaly
6. Ce anomaly
7. cerium anomaly
8. europium anomaly
9. gravity anomaly
10. residual gravity anomaly
11. Residual Terrain Model (RTM) anomaly
12. residual terrain model anomaly
13. wind anomaly
14. amoxicillin detection
15. antibiotic detection
16. antibiotics detection
17. aspect detection
18. asynchronous fault detection
19. attack detection
20. barotrauma detection system
21. body detection
22. botnet detection
23. capacitively coupled conductivity detection
24. change detection
25. chemical detection
26. community detection
27. compu ter-aided detection(CAD)
28. computer-aided detection
29. computer‐aided detection
30. contactless conductivity detection
31. contactless conductivity detection (C4D)
32. crash detection
33. cyber intrusion detection
34. defect detection
35. detection
36. detection efficiency
37. detection engineering
38. detection of anomalous end user nodes
39. distributed detection
40. early detection
41. early intrusion detection
42. energy detection
43. error detection
44. ESI-MS and IM detection
45. Event detection
46. extraction and detection methods
47. face detection
48. Face Manipulation Detection
49. failure detection
50. fall detection
51. fault detection
52. fault detection and diagnoses
53. fault detection and diagnosis
54. Fish detection
55. fouling detection
56. hepatitis C virus (HCV) detection
57. hubs detection
58. IED detection
59. indicident detection and response
60. indirect UV absorbance detection
61. intrusion detection
62. intrusion detection system (IDS)
63. intrusion detection systems
64. island detection
65. islanding detection
66. label-free detection
67. LED fluorescence detection
68. leg detection
69. light detection and ranging
70. Light Detection and Ranging (LiDAR) point cloud
71. limit of detection
72. lock-in detection
73. loop-closure detection
74. malware detection
75. marker detection
76. mobile malware detection
77. money laundering detection systems
78. monitoring and detection
79. multi-classed object detection
80. mutant detection
81. nodules detection
82. object detection
83. oil-spill detection
84. outlier’s detection methods
85. outliers detection
86. plagiarism detection
87. position detection
88. protein detection
89. proton detection
90. radar detection
91. ramp event detection
92. recycled FPGA detection
93. robust detection
94. scene text detection
95. short-circuit detection
96. small molecule detection
97. speech activity detection
98. Suicidal ideation detection
99. synchronous detection
100. tyre detection
101. unmanned aerial vehicle detection systems
102. unsupervised outlier detection
103. UV detection
104. vehicle detection
105. vortex detection
106. 3D lane detection

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