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1

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

book article
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

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
9

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

book article
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. evaluation of explainable AI intrusion detection
54. Event detection
55. extraction and detection methods
56. face detection
57. Face Manipulation Detection
58. failure detection
59. fall detection
60. fault detection
61. fault detection and diagnoses
62. fault detection and diagnosis
63. Fish detection
64. fouling detection
65. harmonic detection
66. health care IoMT intrusion detection
67. hepatitis C virus (HCV) detection
68. hubs detection
69. IED detection
70. image-based crack detection
71. indicident detection and response
72. indirect UV absorbance detection
73. intrusion detection
74. intrusion detection system
75. intrusion detection system (IDS)
76. intrusion detection systems
77. island detection
78. islanding detection
79. label-free detection
80. lane detection
81. lane line detection
82. LED fluorescence detection
83. leg detection
84. light detection and ranging
85. light detection and ranging (LiDAR)
86. Light Detection and Ranging (LiDAR) point cloud
87. limit of detection
88. lock-in detection
89. loop-closure detection
90. malware detection
91. marker detection
92. mobile malware detection
93. money laundering detection systems
94. monitoring and detection
95. multi-classed object detection
96. Multi-valued Simulation for Hazard Detection in Digital Circuits
97. mutant detection
98. network intrusion detection system
99. nodules detection
100. object detection
101. oil-spill detection
102. outlier’s detection methods
103. outliers detection
104. peak detection
105. phytoplankton detection methods
106. plagiarism detection
107. position detection
108. precursor detection
109. protein detection
110. proton detection
111. radar detection
112. ramp event detection
113. recycled FPGA detection
114. residual current detection
115. robust detection
116. scene text detection
117. short-circuit detection
118. small molecule detection
119. speech activity detection
120. Suicidal ideation detection
121. synchronous detection
122. topic detection
123. tyre detection
124. unmanned aerial vehicle detection systems
125. unsupervised outlier detection
126. UV detection
127. vehicle detection
128. vortex detection
129. 3D lane detection

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