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RICKWOOD, M. OUJEZSKÝ, V.
Original Title
A proposal of a method to detect spam from information messages
Type
conference paper
Language
English
Original Abstract
This paper presents a spam detection algorithm that uses solely traffic flow logs in the form of Netflow messages. Internet service providers must detect spam in order for their entire subnets not to be marked as spamming stations. The algorithm was drafted based on an analysis of various datasets containing Netflow records. These datasets consist of valid e-mails, spam and common non e-mail related traffic. The algorithm uses domain name system blacklist verification as the first step of identifying a spamming station. Furthermore, theoretical models of valid clients and spammers have been laid out. In continuation of this work, the dataset will be studied to find correlation with the models. Included in the tracked parameters one can find the number of incoming and outcoming messages, timestamps amongst others
Keywords
Detection, e-mail, flow, security, spam
Authors
RICKWOOD, M.; OUJEZSKÝ, V.
Released
26. 4. 2022
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-6029-4
Book
Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers
Edition
1
Pages from
137
Pages to
140
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf
BibTex
@inproceedings{BUT188060, author="Michal {Rickwood} and Václav {Oujezský}", title="A proposal of a method to detect spam from information messages", booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers", year="2022", series="1", pages="137--140", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", isbn="978-80-214-6029-4", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf" }