Assessing the suitability of traditional botnet detection against contemporary threats
Abstract
© 2020 IEEE. Botnets are groups of compromised devices used by malicious actors to perpetrate various forms of cyber-attacks. The Internet of Things involves the use and operation of (often small, low power) devices such as household appliances, industrial sensors and actuators, and media devices. Contemporary botnets have been known to target IoT devices for use in their attacks. Traditional botnet detection techniques may not be adequate in detecting contemporary botnet threats. BotMiner is one such technique. This paper discusses the attempted recreation of BotMiner and the limitations found in the context of IoT-based Botnet detection.
Document Type
Conference Proceeding
Date of Publication
4-1-2020
Publication Title
Proceedings - 2020 Workshop on Emerging Technologies for Security in IoT, ETSecIoT 2020
Publisher
IEEE
School
School of Science
RAS ID
32965
Copyright
subscription content
First Page
18
Last Page
21
Comments
Woodiss-Field, A., & Johnstone, M. N. (2020, April). Assessing the Suitability of Traditional Botnet Detection against Contemporary Threats. In 2020 Workshop on Emerging Technologies for Security in IoT (ETSecIoT) (pp. 18-21). IEEE. https://doi.org/10.1109/ETSecIoT50046.2020.00008