Autoencoder Based Feature Selection for Phishing URL Attack Detection in IoT Using Stacked Autoencoder (AFS-SAE)-Reference-Cited by-同舟云学术

Autoencoder Based Feature Selection for Phishing URL Attack Detection in IoT Using Stacked Autoencoder (AFS-SAE)

Published:2022-10-03 Issue: Volume: Page:
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Container-title:2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

D Nanthiya¹,B Gopal S.²,Poongodi C.³,K Jegadeesh²,P Narendraprasath²,J Jeevanandham²

Affiliation:

1. Kongu Engineering College,Department of Computer Technology-UG,Erode,India

2. Kongu Engineering College,Department of Electronics and Communication Engineering,Erode,India

3. Vivekananda College of Engineering for Women,Department of Computer Science and Engineering,Thiruchengode

Publisher

IEEE

Link

Reference31 articles.

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2. IoT Phishing Detection Using Hybrid NLP and Machine Learning Models Enhanced with Contextual Embedding;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22