@inproceedings{8bd97e029a5b4647a28d2d0b17588d08,
title = "Enhancing Email Security in Consumer Electronics with a Hybrid Deep Learning Approach",
abstract = "In the field of consumer electronics, phishing attempts continue to be a major cause for worry when it comes to consumer security. Phishing is a cyber attack that enables attackers to deceive victims. The recent rise in phishing incidents in the post-COVID era poses a serious threat to consumer electronics users. In this context, this study presents a hybrid deep learning model to detect the phishing URLs. Our method combines two linear deep learning models in parallel. Our propsed model has a total accuracy of 97%.",
keywords = "Consumer Electronics, Cyber Security, Deep Learning, Phishing",
author = "Akshat Gaurav and Gupta, {Brij B.} and Chui, {Kwok Tai} and Varsha Arya",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Consumer Electronics, ICCE 2024 ; Conference date: 06-01-2024 Through 08-01-2024",
year = "2024",
doi = "10.1109/ICCE59016.2024.10444468",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
booktitle = "2024 IEEE International Conference on Consumer Electronics, ICCE 2024",
}