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intrusion detection (keyword)
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1
book article
Deep learning-based detection of cyberattacks in software-defined networks
Mirsadeghi, Seyed Mohammad Hadi
;
Bahsi, Hayretdin
;
Inbouli, Wissem
Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings
2023
/
p. 341-354
https://doi.org/10.1007/978-3-031-36574-4_20
book article
2
book article
Dimensionality reduction for machine learning based IoT botnet detection
Bahsi, Hayretdin
;
Nõmm, Sven
15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 2018
2018
/
p. 1857-1862 : ill
https://doi.org/10.1109/ICARCV.2018.8581205
book article
3
journal article EST
/
journal article ENG
In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
IEEE Access
2022
/
p. 94518-94535
https://doi.org/10.1109/ACCESS.2022.3204001
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
4
book article
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Proceedings of the 6th International Conference on Information Systems Security and Privacy, ICISSP : February 25-27, 2020, La Valletta, Malta. Vol. 1
2020
/
p. 207-218 : ill
https://doi.org/10.5220/0009187802070218
book article
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
5
book article EST
/
book article ENG
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers
2022
/
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
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
Number of records 5, displaying
1 - 5
keyword
94
1.
early intrusion detection
2.
intrusion detection
3.
intrusion detection systems
4.
air intrusion
5.
intrusion
6.
saline intrusion blockage
7.
amoxicillin detection
8.
anomaly detection
9.
anomaly detection for system logs
10.
antibiotic detection
11.
antibiotics detection
12.
asynchronous fault detection
13.
attack detection
14.
barotrauma detection system
15.
body detection
16.
botnet detection
17.
capacitively coupled conductivity detection
18.
change detection
19.
chemical detection
20.
community detection
21.
compu ter-aided detection(CAD)
22.
computer-aided detection
23.
computer‐aided detection
24.
contactless conductivity detection
25.
contactless conductivity detection (C4D)
26.
crash detection
27.
defect detection
28.
detection
29.
detection efficiency
30.
detection engineering
31.
detection of anomalous end user nodes
32.
distributed detection
33.
early detection
34.
energy detection
35.
error detection
36.
ESI-MS and IM detection
37.
Event detection
38.
face detection
39.
Face Manipulation Detection
40.
failure detection
41.
fall detection
42.
fault detection
43.
fault detection and diagnoses
44.
fault detection and diagnosis
45.
Fish detection
46.
fouling detection
47.
hepatitis C virus (HCV) detection
48.
hubs detection
49.
IED detection
50.
indicident detection and response
51.
indirect UV absorbance detection
52.
island detection
53.
islanding detection
54.
label-free detection
55.
LED fluorescence detection
56.
leg detection
57.
light detection and ranging
58.
Light Detection and Ranging (LiDAR) point cloud
59.
limit of detection
60.
lock-in detection
61.
loop-closure detection
62.
malware detection
63.
marker detection
64.
mobile malware detection
65.
money laundering detection systems
66.
monitoring and detection
67.
multi-classed object detection
68.
mutant detection
69.
network anomaly detection
70.
nodules detection
71.
object detection
72.
oil-spill detection
73.
outlier’s detection methods
74.
outliers detection
75.
plagiarism detection
76.
position detection
77.
protein detection
78.
proton detection
79.
radar detection
80.
ramp event detection
81.
recycled FPGA detection
82.
robust detection
83.
short-circuit detection
84.
small molecule detection
85.
speech activity detection
86.
Suicidal ideation detection
87.
synchronous detection
88.
tyre detection
89.
unmanned aerial vehicle detection systems
90.
unsupervised outlier detection
91.
UV detection
92.
vehicle detection
93.
vortex detection
94.
3D lane detection
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