Strengthening Cybersecurity: A Comparative Study of KNN and Random Forest for Spam Detection

Author:

Joshi Sanya,Japanpreet ,Rani Lekha,Sarangi Pradeepta Kumar,Dubey Ved Prakash

Publisher

Springer Nature Singapore

Reference17 articles.

1. Snehi J, Bhandari A, Baggan V, Snehi M (2020) Diverse methods for signature based intrusion detection schemes adopted. Int J Recent Technol Eng 9(2):44–49

2. Baggan V, Panda SN Enhancing border gateway routing protocol with software defined networking. International Journal of Innovative Technology and Exploring Engineering, Volume-8 Issue-8 June, 2019, pp: 976-984

3. Ahmed N, Amin R, Aldabbas H, Koundal D, Alouffi B, Shah T (2022) Machine learning techniques for spam detection in email and IoT platforms: analysis and research challenges. Sec Commun Netw 2022:19. Article ID 1862888

4. Sultana T, Sapnaz KA, Sana F, Najath J (2020) Email based spam detection. Int J Eng Res Technol (IJERT) 9. ISSN 2278-0181

5. Bhuiyan H, Ashiquzzaman A, Juthi T, Biswas S, Ara J (2018) A survey of existing e-mail spam filtering methods considering machine learning techniques. Glob J 18. ISSN 0975-4172

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