Spam filter based on geographical location of the sender
Author:
Affiliation:
1. Department of Telecommunications, Faculty of Electrical Engineering and Communication , Brno University of Technology , Technická 12 , Brno , Czech Republic
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/jee-2022-0038
Reference14 articles.
1. [1] I.Poese,S.Uhlig, M. A.Kaafar, B. Donnet, and B.Gueye, “Ip geolocation databases”, ACM SIGCOMM Computer Communication Review, vol. 41, no. 2, pp. 5356, 2011-04-15. https://dl.acm.org/doi/10.1145/1971162., 1971171.10.1145/1971162.1971171
2. [2] J. Taylor, J. Devlin, and K. Curran, “Bringing location to IP addresses with IP geolocation,”, Journal of Emerging Technologies in Web Intelligence, vol. 4, 08 2012.10.4304/jetwi.4.3.273-277
3. [3] D. Komosny, “Retrospective ip address geolocation for geography-aware internet services”, Sensors, vol. 21, no. 15, https://www.mdpi.com/1424-8220/21/15/4975, 2021.10.3390/s21154975834816934372212
4. [4] M. Kovařík, “GitHub MartinKovarik/Geolock: Plugin for SpamAssassin for blocking e-mails based on the geolocation of the sender using a IP2Location database”, https://github.com/MartinKovarik/Geolock, 2022.
5. [5] S. Magdy, Y. Abouelseoud, and M. Mikhail, “Efficient spam and phishing emails filtering based on deep learning”, Computer Networks, vol. 206, pp. 108826, https://www.sciencedirect.com/science/article/pii/S1389128622000469, 2022.10.1016/j.comnet.2022.108826
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