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intrusion detection (võtmesõna)

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Kirjeid leitud 7
Vaata veel.. (1/114)
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ekspordi kõik päringu tulemused (7)
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artikkel kogumikus

Deep learning-based detection of cyberattacks in software-defined networksMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Inbouli, WissemDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 341-354 https://doi.org/10.1007/978-3-031-36574-4_20

artikkel kogumikus
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artikkel kogumikus

Dimensionality reduction for machine learning based IoT botnet detectionBahsi, Hayretdin; Nõmm, Sven15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 20182018 / p. 1857-1862 : ill https://doi.org/10.1109/ICARCV.2018.8581205

artikkel kogumikus
3

artikkel kogumikus

Explainable federated learning for Botnet Detection in IoT networksKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), September 2-4, 2024, London, UK2024 / p. 22-29 https://doi.org/10.1109/CSR61664.2024.10679348 Article at Scopus Article at WOS

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4

artikkel ajakirjas EST / artikkel ajakirjas ENG

In-depth feature selection for the statistical machine learning-based botnet detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinIEEE Access2022 / p. 94518-94535 https://doi.org/10.1109/ACCESS.2022.3204001 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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5

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
6

artikkel ajakirjas EST / artikkel ajakirjas ENG

Stream clustering guided supervised learning for classifying NIDS alertsVaarandi, Risto; Guerra Manzanares, AlejandroFuture generation computer systems2024 / p. 231-244 : ill https://doi.org/10.1016/j.future.2024.01.032 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
7

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 7, kuvan 1 - 7

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

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