A Novel Approach to Detect Phishing Attacks using Binary Visualisation and Machine Learning-Reference-Cited by-同舟云学术

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A Novel Approach to Detect Phishing Attacks using Binary Visualisation and Machine Learning

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE World Congress on Services (SERVICES)
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Author:

Barlow Luke,Bendiab Gueltoum,Shiaeles Stavros,Savage Nick

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9284143/9283890/09284172.pdf?arnumber=9284172

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Malicious Traffic Detection in Encrypted Communication Using TLS Features and a Multi-class Classifier Ensemble;Journal of Network and Systems Management;2024-08-10

2. XAI-PhD: Fortifying Trust of Phishing URL Detection Empowered by Shapley Additive Explanations;International Journal of Online and Biomedical Engineering (iJOE);2024-08-08

3. Detecting Potential Phishing Attacks on Twitter Using Transformers;2023 3rd International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS);2023-12-06

4. HTTP header based phishing attack detection using machine learning;Transactions on Emerging Telecommunications Technologies;2023-09-28

5. Utilizing Computer Vision Algorithms to Detect and Classify Cyberattacks in IoT Environments in Real-Time;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18

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