Phishing Websites Classification using Extreme Learning Machine-Reference-Cited by-同舟云学术

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Phishing Websites Classification using Extreme Learning Machine

Published:2024-05-09 Issue: Volume:23 Page:466-471
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
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Author:

Gowroju Swathi¹,Choudhary Shilpa²,Jyothi G.³,Sabitha B.⁴,Kumar B. Bikram⁵,Srilakshmi R.⁶

Affiliation:

1. Sreyas Institute of Engineering and Technology,Department of Computer Science &Engineering (AI& ML),Hyderabad,India

2. Neil Gogte Institute of Technology,Department of Computer Science &Engineering(AIML),Hyderabad,India

3. Sreyas Institute of Engineering and Technology,Department of CSE(DS),Hyderabad,India

4. CVR College of Engineering,Department of Computer Science & Engineering,Hyderabad,India

5. Koneru Lakshmaiah Education Foundation,Department of Computer Science & Engineering,Vaddeswaram,India

6. CVR College of Engineering,Department of ET(CSE-DS) department,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10592901.pdf?arnumber=10592901

Reference25 articles.

1. Phishing Detection System Through Hybrid Machine Learning Based on URL

2. A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques

3. Emotion Classification using Feature Extraction of Facial Expression

4. Effective detection of android malware based on the usage of data flow APIs and machine learning

5. Detection and Identification of Animals in Wild Life Sanctuaries using Convolutional Neural Network

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