Toggle navigation
Publications
Profiles
Research Groups
Indexes
Help and information
Eesti keeles
Intranet
Publications
Profiles
Research Groups
Indexes
Help and information
Eesti keeles
Intranet
Databases
Publications
Searching
My bookmarks
0
attack detection (keyword)
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
All fields
Source search
Author search
Subject term search
Title search
starts with
containes
exact match
—
Add criteria
Advanced search
filter
Clear
×
types of item
book
..
journal article
..
newspaper article
..
book article
..
dissertation
..
Open Access
..
Scientific publication
..
year
year of publication
Loading..
author
Loading..
TTÜ department
Loading..
subject term
Loading..
series
Loading..
name of the person
Loading..
keyword
Loading..
Clear
Number of records
1
Look more..
(1/120)
Export
export all inquiry results
(1)
Save TXT fail
Save PDF fail
print
Open for editing with marked entries
my bookmarks
display
Bibliographic view
Short view
sort
author ascending
author descending
year of publication ascending
year of publication descending
title ascending
title descending
1
journal article EST
/
journal article ENG
Observer-based detection and identification of sensor attacks in networked CPSs
Chowdhury, Nilanjan Roy
;
Belikov, Juri
;
Baimel, Dmitry
;
Levron, Yoash
Automatica
2020
/
art. 109166, 13 p
https://doi.org/10.1016/j.automatica.2020.109166
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Number of records 1, displaying
1 - 1
keyword
120
1.
attack detection
2.
attack graphs
3.
attack model
4.
attack sophistication
5.
attack trees
6.
attack vectors
7.
attack visualisation
8.
botnet attack
9.
corrosive attack
10.
cyber-attack
11.
cyber-attack pathways
12.
Denial of Service (DoS) attack
13.
discovery of attack scenarios
14.
DoS attack
15.
false data injection attack
16.
fault-injection attack
17.
ghost injection attack
18.
highly targeted attack
19.
iming side-channel attack
20.
Low-and-Slow DoS attack
21.
manufacturing-time attack
22.
oracle-less attack
23.
quantum attack
24.
ransomware attack
25.
removal attack
26.
Return of the Coppersmith’s Attack (ROCA)
27.
return of the Coppersmith’s attack vulnerability
28.
SAT attack
29.
SAT-based attack
30.
side-channel attack
31.
amoxicillin detection
32.
anomaly detection
33.
anomaly detection for system logs
34.
antibiotic detection
35.
antibiotics detection
36.
asynchronous fault detection
37.
barotrauma detection system
38.
body detection
39.
botnet detection
40.
capacitively coupled conductivity detection
41.
change detection
42.
chemical detection
43.
community detection
44.
compu ter-aided detection(CAD)
45.
computer-aided detection
46.
computer‐aided detection
47.
contactless conductivity detection
48.
contactless conductivity detection (C4D)
49.
crash detection
50.
defect detection
51.
detection
52.
detection efficiency
53.
detection engineering
54.
detection of anomalous end user nodes
55.
distributed detection
56.
early detection
57.
early intrusion detection
58.
energy detection
59.
error detection
60.
ESI-MS and IM detection
61.
Event detection
62.
face detection
63.
Face Manipulation Detection
64.
failure detection
65.
fall detection
66.
fault detection
67.
fault detection and diagnoses
68.
fault detection and diagnosis
69.
Fish detection
70.
fouling detection
71.
hepatitis C virus (HCV) detection
72.
hubs detection
73.
IED detection
74.
indicident detection and response
75.
indirect UV absorbance detection
76.
intrusion detection
77.
intrusion detection systems
78.
island detection
79.
islanding detection
80.
label-free detection
81.
LED fluorescence detection
82.
leg detection
83.
light detection and ranging
84.
Light Detection and Ranging (LiDAR) point cloud
85.
limit of detection
86.
lock-in detection
87.
loop-closure detection
88.
malware detection
89.
marker detection
90.
mobile malware detection
91.
money laundering detection systems
92.
monitoring and detection
93.
multi-classed object detection
94.
mutant detection
95.
network anomaly detection
96.
nodules detection
97.
object detection
98.
oil-spill detection
99.
outlier’s detection methods
100.
outliers detection
101.
plagiarism detection
102.
position detection
103.
protein detection
104.
proton detection
105.
radar detection
106.
ramp event detection
107.
recycled FPGA detection
108.
robust detection
109.
short-circuit detection
110.
small molecule detection
111.
speech activity detection
112.
Suicidal ideation detection
113.
synchronous detection
114.
tyre detection
115.
unmanned aerial vehicle detection systems
116.
unsupervised outlier detection
117.
UV detection
118.
vehicle detection
119.
vortex detection
120.
3D lane detection
×
vaste
starts with
ends with
containes
sort
Relevance
ascending
descending
year of publication
author
TTÜ department
subject term
series
name of the person
keyword
Otsing
Valikud
0
year of publication
AND
OR
NOT
author
AND
OR
NOT
TTÜ department
AND
OR
NOT
subject term
AND
OR
NOT
series
AND
OR
NOT
name of the person
AND
OR
NOT
keyword
AND
OR
NOT