Hybrid Learning Approach for E-mail Spam Detection and Classification

Author:

Shajahan Rimitha,Lekshmy P. L.

Publisher

Springer International Publishing

Reference13 articles.

1. Joshi A, Lloyd L, Westin P, Seethapathy S (2019) Using lexical features for malicious URL detection—a machine learning approach. ArXiv http://orcid.org/abs/1910.06277

2. Sultana T, Sapnaz KA, Sana F, Najath J (2020) E-mail based spam detection. Int J Eng Res Technol (IJERT) 9(06)

3. Siddique ZB, Khan MA, Din IU, Almogren A, Mohiuddin I, Nazir S (2021) Machine learning-based detection of spam e-mails. Article ID 6508784. Hindawi. https://doi.org/10.1155/2021/6508784

4. Patgiri R, Katari H, Kumar R, Sharma D (2019) Empirical study on malicious URL detection using machine learning. In: International conference on distributed computing and internet technology ICDCIT 2019: distributed computing and internet technology, pp 380–388

5. Washaha M, Khater IM, Qaroush A (2012) Identifying spam e-mail based-on statistical header features and sender behavior. In: International information technology conference and exhibition (CUBE), September 2012, Pune, India

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