Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms-Reference-Cited by-同舟云学术

Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms

Author:

Shirazi Hossein¹^ORCID,Muramudalige Shashika R.²^ORCID,Ray Indrakshi³^ORCID,Jayasumana Anura P.²^ORCID,Wang Haonan⁴

Affiliation:

1. Management Information Systems, San Diego State University, San Diego, CA, USA

2. Department of Electrical & Computer Engineering, Colorado State University, Fort Collins, CO, USA

3. Department of Computer Science, Colorado State University, Fort Collins, CO, USA

4. Department of Statistics, Colorado State University, Fort Collins, CO, USA

Funder

National Science Foundation

American Megatrends

Statnett

Cyber Risk Research

ARL

National Institute of Standards and Technology

The NewPush

U.S. Department of Justice

Office of Justice Programs/National Institute of Justice

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

Reference59 articles.

2. UCI machine learning repository;dheeru,0

4. Scikit-learn: Machine learning in python;pedregosa;J Mach Learn Res,2011

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