Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii"
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Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2021, Issue 2, Pages 63–74 (Mi ulsu53)  
Botnet detection via server logs analysis

K. A. Sutyrkina, A. N. Burmistrov

Ulyanovsk State University, Ulyanovsk, Russia
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Abstract: We've worked on botnets detection by analyzing real web-server logs. The special software product has been created to generate a sample of IP addresses, ports, and login/password pairs from the log le, which contains unsuccessful authorizations reports. As the result, a map of potential botnets was compiled, besides the most dangerous passwords, and a blacklist of IP addresses was obtained.
Keywords: botnet detection, analysis of log les, web server.
Received: 30.11.2021
Document Type: Article
UDC: 004.056.5
Language: Russian
Citation: K. A. Sutyrkina, A. N. Burmistrov, “Botnet detection via server logs analysis”, Uchenyye zapiski UlGU. Seriya “Matematika i informatsionnyye tekhnologii”, 2021, no. 2, 63–74
Citation in format AMSBIB
\Bibitem{SutBur21}
\by K.~A.~Sutyrkina, A.~N.~Burmistrov
\paper Botnet detection via server logs analysis
\jour Uchenyye zapiski UlGU. Seriya ``Matematika i informatsionnyye tekhnologii''
\yr 2021
\issue 2
\pages 63--74
\mathnet{http://mi.mathnet.ru/ulsu53}
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