Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection

Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection

Considering the fatality of phishing attacks, the data-driven approach using massive URL observations has been verified, especially in the field of cyber security. On the other hand, the supervised learning approach relying on known attacks has limitations in terms of robustness against zero-day phi...

Full description

Bibliographic Details
Main Authors: Seok-Jun Bu, Sung-Bae Cho
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
phishing detection
zero-day attack
anomaly detection
convolutional autoencoder
deep learning
Online Access:https://www.mdpi.com/2079-9292/10/12/1492

Internet

https://www.mdpi.com/2079-9292/10/12/1492

Similar Items