MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine

MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine

Fast and accurate malicious domain detection is an essential research theme to prevent cybercrime, and machine learning is an attractive approach for detecting unseen malicious domains in the past decade. In this paper, we present <italic>MADMAX (MAchine learning-baseD MAlicious domain eXhaust...

Full description

Bibliographic Details
Main Authors: Kazuki Iwahana, Tatsuya Takemura, Ju Chien Cheng, Nami Ashizawa, Naoki Umeda, Kodai Sato, Ryota Kawakami, Rei Shimizu, Yuichiro Chinen, Naoto Yanai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Browser application
extreme learning machine
feature selection
malicious domain detection
machine learning
real-time training
Online Access:https://ieeexplore.ieee.org/document/9431180/

Internet

https://ieeexplore.ieee.org/document/9431180/

Similar Items