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Detecting Malicious Rogue APs at Public Hotspots(3/3)
許, 富皓
(PI)
Department of Computer Science and Information Engineering
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/08/18
→
31/07/19
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Detectors
Engineering & Materials Science
100%
Internet of things
Engineering & Materials Science
80%
Electronic mail
Engineering & Materials Science
70%
detectors
Physics & Astronomy
35%
Wi-Fi
Engineering & Materials Science
35%
Transmission control protocol
Engineering & Materials Science
20%
Internet protocols
Engineering & Materials Science
18%
Servers
Engineering & Materials Science
18%
Research output
Research output per year
2021
2021
2022
2022
2
Article
Research output per year
Research output per year
WPFD: Active User-Side Detection of Evil Twins
Hsu, F. H.
,
Wu, M. H.
,
Hwang, Y. L.
,
Lee, C. H.
,
Wang, C. S.
&
Chang, T. C.
,
Aug 2022
,
In:
Applied Sciences (Switzerland).
12
,
16
, 8088.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Detectors
100%
Strength
81%
detectors
71%
Wi-Fi
70%
Internet of things
53%
IoTD: An approach to identify E-mails sent by IoT devices
Hsu, F. H.
,
Wu, J. S.
,
Ou, C. W.
,
Liu, T. C.
&
Zhuang, Y. Y.
,
1 Nov 2021
,
In:
Computer Communications.
179
,
p. 62-72
11 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Electronic mail
100%
Internet of things
76%
Detectors
71%
Servers
26%
Spamming
9%