Digital Waste Disposal: an automated framework for analysis of spam emails-Reference-Cited by-同舟云学术

Digital Waste Disposal: an automated framework for analysis of spam emails

Published:2019-09-25 Issue:5 Volume:19 Page:499-522
ISSN:1615-5262
Container-title:International Journal of Information Security
language:en
Short-container-title:Int. J. Inf. Secur.

Author:

Sheikhalishahi Mina,Saracino Andrea^ORCID,Martinelli Fabio,La Marra Antonio,Mejri Mohammed,Tawbi Nadia

Funder

Horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10207-019-00470-x.pdf

Reference68 articles.

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2. Statista: Global Spam Volume as Percentage of Total E-Mail Traffic from January 2014 to December 2016. https://www.statista.com/statistics/420391/spam-email-traffic-share/ (2018)

3. Rao, J., Reiley, D.: On the spam campaign trail. Econ. Spam 26(3), 87–110 (2012)

4. Shah, N.F., Kumar, P.: A comparative analysis of various spam classifications. In: Sa, P.K., Sahoo, M.N., Murugappan, M., Wu, Y., Majhi, B. (eds.) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, pp. 265–271. Springer, Singapore (2018)

5. Carreras, X., Marquez, L., Salgado, J.: Boosting trees for anti-spam email filtering. In: Proceedings of RANLP-01, 4th International Conference on Recent Advances in Natural Language Processing, Tzigov Chark, BG, pp. 58–64 (2001)

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