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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

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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

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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

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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

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
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book article

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

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10

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 10, displaying 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. Barotrauma detection system sensors
23. behaviour-based intrusion detection systems
24. body detection
25. botnet detection
26. capacitively coupled conductivity detection
27. change detection
28. chemical detection
29. community detection
30. compu ter-aided detection(CAD)
31. computer-aided detection
32. computer‐aided detection
33. contactless conductivity detection
34. contactless conductivity detection (C4D)
35. crack detection
36. crash detection
37. cyber intrusion detection
38. defect detection
39. detection
40. detection efficiency
41. detection engineering
42. detection mechanisms
43. detection method
44. detection methods
45. detection of anomalous end user nodes
46. detection of hydrogen isotopes
47. distributed detection
48. early detection
49. early intrusion detection
50. energy detection
51. error detection
52. ESI-MS and IM detection
53. Event detection
54. extraction and detection methods
55. face detection
56. Face Manipulation Detection
57. failure detection
58. fall detection
59. fault detection
60. fault detection and diagnoses
61. fault detection and diagnosis
62. Fish detection
63. fouling detection
64. harmonic detection
65. hepatitis C virus (HCV) detection
66. hubs detection
67. IED detection
68. image-based crack detection
69. indicident detection and response
70. indirect UV absorbance detection
71. intrusion detection
72. intrusion detection system
73. intrusion detection system (IDS)
74. intrusion detection systems
75. island detection
76. islanding detection
77. label-free detection
78. lane detection
79. LED fluorescence detection
80. leg detection
81. light detection and ranging
82. light detection and ranging (LiDAR)
83. Light Detection and Ranging (LiDAR) point cloud
84. limit of detection
85. lock-in detection
86. loop-closure detection
87. malware detection
88. marker detection
89. mobile malware detection
90. money laundering detection systems
91. monitoring and detection
92. multi-classed object detection
93. Multi-valued Simulation for Hazard Detection in Digital Circuits
94. mutant detection
95. network intrusion detection system
96. nodules detection
97. object detection
98. oil-spill detection
99. outlier’s detection methods
100. outliers detection
101. peak detection
102. phytoplankton detection methods
103. plagiarism detection
104. position detection
105. precursor detection
106. protein detection
107. proton detection
108. radar detection
109. ramp event detection
110. recycled FPGA detection
111. residual current detection
112. robust detection
113. scene text detection
114. short-circuit detection
115. small molecule detection
116. speech activity detection
117. Suicidal ideation detection
118. synchronous detection
119. topic detection
120. tyre detection
121. unmanned aerial vehicle detection systems
122. unsupervised outlier detection
123. UV detection
124. vehicle detection
125. vortex detection
126. 3D lane detection

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