A method to detect Internet of Things botnets
| Autor: | Anton O. Prokofiev, Vasiliy A. Surov, Yulia S. Smirnova |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020203 distributed computing
business.industry Computer science Control (management) Botnet 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre Logistic regression Connection (mathematics) 0202 electrical engineering electronic engineering information engineering Internet of Things business Communications protocol computer |
| Zdroj: | 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). |
| DOI: | 10.1109/eiconrus.2018.8317041 |
| Popis: | The main security problems, typical for the Internet of Things (IoT), as well as the purpose of gaining unauthorized access to the IoT, are considered in this paper. Common characteristics of the most widespread botnets are provided. A method to detect compromised IoT devices included into a botnet is proposed. The method is based on a model of logistic regression. The article describes a developed model of logistic regression which allows to estimate the probability that a device initiating a connection is running a bot. A list of network protocols, used to gain unauthorized access to a device and to receive instructions from common and control (C&C) server, is provided too. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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