SenseInput: An Image-Based Sensitive Input Detection Scheme for Phishing Website Detection-Reference-Cited by-同舟云学术

SenseInput: An Image-Based Sensitive Input Detection Scheme for Phishing Website Detection

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Lin Shih-Chun¹,Wl Pang-Cheng²,Chen Hong-Yen¹,Morikawa Tomohiro³,Takahashi Takeshi⁴,Lin Tsung-Nan¹

Affiliation:

1. National Taiwan University,Graduate Institute of Communication Engineering

2. National Taiwan University and Academia Sinica,College of Electrical Engineering and Computer Science

3. Saitama Institute of Technology,National Institute of Information and Communications Technology

4. National Institute of Information and Communications Technology,Tokyo,Japan

Funder

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838653.pdf?arnumber=9838653

Reference20 articles.

1. Phishing detection model using the hybrid approach to data protection in industrial control system

2. A comprehensive and efficacious architecture for detecting phishing webpages

3. VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

4. LogoSENSE: A companion HOG based logo detection scheme for phishing web page and E-mail brand recognition

5. Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages;lin;30th USENIX Security Symposium ( USENIX Security 21),2021

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3. Real-Time Phishing Detection Based on URL Multi-Perspective Features: Aiming at the Real Web Environment;ICC 2023 - IEEE International Conference on Communications;2023-05-28

4. Phishing Web Page Detection using Web Scraping;SoutheastCon 2023;2023-04-01