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malware detection (võtmesõna)

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Kirjeid leitud 9
Vaata veel.. (1/135)
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ekspordi kõik päringu tulemused (9)
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artikkel ajakirjas EST / artikkel ajakirjas ENG

Android malware concept drift using system calls : detection, characterization and challengesGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinExpert systems with applications2022 / art. 117200, 19 p. : ill https://doi.org/10.1016/j.eswa.2022.117200 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas 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
2

artikkel ajakirjas EST / artikkel ajakirjas ENG

Concept drift and cross-device behavior : challenges and implications for effective android malware detectionGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinComputers & Security2022 / art. 102757, 20 p. : ill https://doi.org/10.1016/j.cose.2022.102757 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas 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
3

artikkel ajakirjas

Cross-device behavioral consistency : benchmarking and implications for effective android malware detectionGuerra Manzanares, Alejandro; Välbe, MartinMachine Learning with Applications2022 / art. 100357, 15 p. : ill https://doi.org/10.1016/j.mlwa.2022.100357

artikkel ajakirjas
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 EST / artikkel ajakirjas ENG

Experts still needed : boosting long-term android malware detection with active learningGuerra-Manzanares, Alejandro; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2024 / p. 901 - 918 https://doi.org/10.1007/s11416-024-00536-y Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
5

artikkel ajakirjas EST / artikkel ajakirjas ENG

KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterizationGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, SvenComputers & Security2021 / art. 102399, 32 p https://doi.org/10.1016/j.cose.2021.102399 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas 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
6

artikkel ajakirjas EST / artikkel ajakirjas ENG

Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detectionGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2022 / 32 p. : ill https://doi.org/10.1007/s11416-022-00432-3 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas 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
7

artikkel kogumikus

On the application of active learning to handle data evolution in Android malware detectionGuerra Manzanares, Alejandro; Bahsi, HayretdinDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 256-273 https://doi.org/10.1007/978-3-031-36574-4_15

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
8

artikkel ajakirjas EST / artikkel ajakirjas ENG

On the relativity of time : implications and challenges of data drift on long-term effective android malware detectionGuerra Manzanares, Alejandro; Bahsi, HayretdinComputers & Security2022 / art. 102835, 15 p. : ill https://doi.org/10.1016/j.cose.2022.102835 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas 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
9

artikkel kogumikus

Time-frame analysis of system calls behavior in machine learning-based mobile malware detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 20192019 / art. 89049088 ; 8 p. : ill https://doi.org/10.1109/CSET.2019.8904908

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

Kirjeid leitud 9, kuvan 1 - 9

1. malware detection
2. mobile malware detection
3. android malware
4. malware analysis
5. Malware behavior
6. Malware characterization
7. Malware evolution
8. malware reverse engineering
9. mobile malware
10. AI-based fault detection
11. amoxicillin detection
12. anomaly detection
13. anomaly detection for system logs
14. antibiotic detection
15. antibiotics detection
16. aspect detection
17. asynchronous fault detection
18. attack detection
19. barotrauma detection system
20. Barotrauma detection system sensors
21. behaviour-based intrusion detection systems
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. cyber intrusion detection
36. defect detection
37. dementia detection
38. detection
39. detection efficiency
40. detection engineering
41. detection mechanisms
42. detection method
43. detection methods
44. detection of anomalous end user nodes
45. detection of hydrogen isotopes
46. distributed detection
47. early detection
48. early intrusion detection
49. electronic warfare activity 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 classification
62. fault detection and diagnoses
63. fault detection and diagnosis
64. fault detection and diagnostics (FDD)
65. Fish detection
66. fouling detection
67. hardware trojan detection
68. harmonic detection
69. health care IoMT intrusion detection
70. hepatitis C virus (HCV) detection
71. hubs detection
72. hybrid fault detection
73. IED detection
74. image-based crack detection
75. indicident detection and response
76. indirect UV absorbance detection
77. intrusion detection
78. intrusion detection system (IDS)
79. intrusion detection systems
80. intrusion detection systems (IDS)
81. island detection
82. islanding detection
83. label-free detection
84. lane detection
85. lane line detection
86. LED fluorescence detection
87. leg detection
88. light detection and ranging
89. light detection and ranging (LiDAR)
90. Light Detection and Ranging (LiDAR) point cloud
91. limit of detection
92. lock-in detection
93. loop-closure detection
94. marker detection
95. money laundering detection systems
96. monitoring and detection
97. multi-classed object detection
98. Multi-valued Simulation for Hazard Detection in Digital Circuits
99. mutant detection
100. network anomaly detection
101. network intrusion detection system
102. nodules detection
103. object detection
104. oil-spill detection
105. outlier’s detection methods
106. outliers detection
107. peak detection
108. photovoltaic fault detection algorithms
109. phytoplankton detection methods
110. plagiarism detection
111. position detection
112. precursor detection
113. propaganda detection
114. protein detection
115. proton detection
116. radar detection
117. ramp event detection
118. recycled FPGA detection
119. residual current detection
120. robust detection
121. scene text detection
122. short-circuit detection
123. Side-Channel Attack Detection
124. small molecule detection
125. speech activity detection
126. Suicidal ideation detection
127. synchronous detection
128. topic detection
129. tyre detection
130. unmanned aerial vehicle detection systems
131. unsupervised outlier detection
132. UV detection
133. vehicle detection
134. vortex detection
135. 3D lane detection

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