Assessing the suitability of traditional botnet detection against contemporary threats

Authors

Ashley Woodiss-Field, Edith Cowan UniversityFollow
Michael N. Johnstone, Edith Cowan UniversityFollow

Document Type

Conference Proceeding

Publication Title

Proceedings - 2020 Workshop on Emerging Technologies for Security in IoT, ETSecIoT 2020

First Page

18

Last Page

21

Publisher

IEEE

School

School of Science

RAS ID

32965

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

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.

DOI

10.1109/ETSecIoT50046.2020.00008

Related Publications

Woodiss-Field, A. C. (2023). Evaluating traditional botnet detection applied to contemporary threats from the internet of things. Edith Cowan University. Retrieved from https://ro.ecu.edu.au/theses/2719

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