Publication detail

A proposal of a method to detect spam from information messages

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"
}