"MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning ..."

Kazuki Iwahana et al. (2021)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2021.3080456

access: open

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/IwahanaTCAUSKSC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/IwahanaTCAUSKSC21
Kazuki Iwahana, Tatsuya Takemura, Ju Chien Cheng, Nami Ashizawa, Naoki Umeda, Kodai Sato, Ryota Kawakami, Rei Shimizu, Yuichiro Chinen, Naoto Yanai:
MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine. IEEE Access 9: 78293-78314 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.