Network flow based IoT botnet attack detection using deep learning

S. Sriram, R. Vinayakumar, Mamoun Alazab, K. P. Soman

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

Abstract

Governments around the globe are promoting smart city applications to enhance the quality of daily-life activities in urban areas. Smart cities include internet-enabled devices that are used by applications like health care, power grid, water treatment, traffic control, etc to enhance its effectiveness. The expansion in the quantity of Internet-of-things (IoT) based botnet attacks is due to the growing trend of Internet-enabled devices. To provide advanced cyber security solutions to IoT devices and smart city applications, this paper proposes a deep learning (DL) based botnet detection system that works on network traffic flows. The botnet detection framework collects the network traffic flows, converts them into connection records and uses a DL model to detect attacks emanating from the compromised IoT devices. To determine an optimal DL model, many experiments are conducted on well-known and recently released benchmark data sets. Further, the datasets are visualized to understand its characteristics. The proposed DL model outperformed the conventional machine learning (ML) models.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages189-194
Number of pages6
ISBN (Electronic)9781728186955
DOIs
Publication statusPublished - Jul 2020
Event2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada
Duration: 6 Jul 20209 Jul 2020

Publication series

NameIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020

Conference

Conference2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
CountryCanada
CityToronto
Period6/07/209/07/20

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  • Cite this

    Sriram, S., Vinayakumar, R., Alazab, M., & Soman, K. P. (2020). Network flow based IoT botnet attack detection using deep learning. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 (pp. 189-194). [9162668] (IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162668