Difference between revisions of "Publications/sainson.20.seminar"
From LRDE
(Created page with "{{CSIReport | authors = Antoine Sainson | title = Detecting Botnets Behaviors over Network Flows using Hidden Markov Models | year = 2020 | number = 2013 | abstract = Botnets...") |
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| − | | abstract = Botnets are one of the most common and powerful cyber attacks tools, from DDoS attacks to crypto currencies mining. |
+ | | abstract = Botnets are one of the most common and powerful cyber attacks tools, from DDoS attacks to crypto currencies mining. Due to the extreme diversity of Botnets types and interactions, it is very difficult to detect their influence using pay-load data only. Within this contextthe goal is to build a Botnets detection system using metadata information from network flows. To do so, we propose a new system based on probabilistic machine learning techniques using Hidden Markov Models to model interactions inside of suspicious networks. Our work is based on a dataset from the Stratosphere project released in 2014. |
| type = techreport |
| type = techreport |
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| id = sainson.20.seminar |
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Latest revision as of 18:23, 9 November 2020
- Authors
- Antoine Sainson
- Type
- techreport
- Year
- 2020
- Number
- 2013
Abstract
Botnets are one of the most common and powerful cyber attacks tools, from DDoS attacks to crypto currencies mining. Due to the extreme diversity of Botnets types and interactions, it is very difficult to detect their influence using pay-load data only. Within this contextthe goal is to build a Botnets detection system using metadata information from network flows. To do so, we propose a new system based on probabilistic machine learning techniques using Hidden Markov Models to model interactions inside of suspicious networks. Our work is based on a dataset from the Stratosphere project released in 2014.