NTPhish: A CNN-RNN Hybrid Deep Learning Model to Detect Phishing Websites

Author:

Kunndra Chetanya,Choudhary Arjun,Kaur Jaspreet,Jogia Aryan,Mathur Prashant,Shukla Varun

Publisher

Springer Nature Singapore

Reference36 articles.

1. Khonji M, Iraqi Y, Jones A (2013) Phishing detection: a literature survey. IEEE Commun Surv Tutor 15(4):2091–2121

2. Choudhary A, Choudhary G, Pareek K, Kunndra C, Luthra J, Dragoni N (2022) Emerging cyber security challenges after COVID pandemic: a survey. J Internet Serv Inf Secur 12(2):21–50

3. Al-Qahtani AF, Cresci S (2022) The COVID-19 scamdemic: a survey of phishing attacks and their countermeasures during COVID-19. IET Inf Secur 16(5):324–345

4. Pranggono B, Arabo A (2021) COVID-19 pandemic cybersecurity issues. Internet Technol Lett 4(2):e247

5. NJCCIC (2023) Maui wildfire charity scams. Available at https://www.cyber.nj.gov/garden_state_cyber_threat_highlight/maui-wildfire-charity-scams. Accessed 29 Aug 2023

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