Malicious URL Detection using Sequence to Sequence Integration and Deep Learning Models-Reference-Cited by-同舟云学术

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Malicious URL Detection using Sequence to Sequence Integration and Deep Learning Models

Published:2024-05-02 Issue: Volume:9 Page:193-197
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Teki UdayaLaxmi Aditya¹,Pulicherla Padmaja²,Mandal Raman Kumar³,Kumari Amrita⁴,Shesagiri T.⁵,Lakshmanarao A.⁶

Affiliation:

1. Aditya Engineering College,Surampalem,India

2. Hyderabad Institute of Technology and Management,Department of CSE,Hyderabad,India

3. CMR college of engineering and Technology,Department of IT,Kandlakoya, Hyderabad,India

4. IIIT Kottayam,Kerala,India

5. Joginpally B. R. Engineering College,Department of CSE,Hyderabad,India

6. Aditya Engineering College,Department of IT,Surampalem,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551150.pdf?arnumber=10551150

Reference11 articles.

1. A survey on machine learning for cyber security;Lakshmanarao;International Journal of Scientific and Technology Research,2020

2. Machine Learning Technique for Phishing Website Detection

3. Phish Me If You Can – Lexicographic Analysis and Machine Learning for Phishing Websites Detection with PHISHWEB

4. Machine Learning Based Improved Phishing Detection using Adversarial Auto Encoder

5. Phishing Website Detection Using a Hybrid Approach Based on Support Vector Machine and Ant Colony Optimization

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