A Support Vector Machine Learning Technique for Detection of Phishing Websites-Reference-Cited by-同舟云学术

A Support Vector Machine Learning Technique for Detection of Phishing Websites

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Information Systems and Computer Networks (ISCON)
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Author:

Jain Saumya¹,Gupta Chetan¹

Affiliation:

1. SIRTS,Department of CSE,Bhopal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111836/10111935/10111968.pdf?arnumber=10111968

Reference21 articles.

1. Execution examination of classifiers on decreased phishing site dataset;karabatak;2018 sixth Global Conference on Advanced Criminological and Security (ISDFS),2018

2. ADREMOVER: THE Unrivaled artificial intelligence APPROACH FOR Impeding Advancements;vo;2019 IEEE 10th Yearly All inclusive Figuring Devices and Compact Correspondence Social event (UEMCON),2019

3. A Fuzzy Ontology and SVM–Based Web Content Classification System

4. A URL address mindful characterization of pernicious sites for online security during websurfing;chakraborty;2017 IEEE Global Meeting on Cutting edge Organizations and Broadcast communications Frameworks (Insects),2017

5. Exploration on Clients Request Anticipating for E-business Site In light of LS-SVM;chen;2008 Global Discussion on Electronic Trade and Security,2008

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1. Enhancing Web Security: Hybrid Deep Learning Model for Robust URL Phishing Detection;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14