IoT-Botnet Detection and Isolation by Access Routers

Christian Dietz, Raphael Labaca Castro, Jessica Steinberger, Cezary Wilczak, Marcel Antzek, Anna Sperotto, Aiko Pras

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

In recent years, emerging technologies such as the Internet of Things gain increasing interest in various communities. However, the majority of IoT devices have little or no protection at software and infrastructure levels and thus are also opening up new vulnerabilities that might be misused by cybercriminals to perform large-scale cyber attacks by means of IoT botnets. These kind of attacks lead to infrastructure and service outages and cause enormous financial loss, image and reputation damage. One approach to proactively block the spreading of such IoT botnets is to automatically scan for vulnerable IoT devices and isolate them from the Internet before they are compromised and also become part of the IoT botnet. The goal of this paper is to present an IoT botnet detection and isolation approach at the level of access routers that makes IoT devices more attack resilient. We show that our IoT botnet detection and isolation approach helps to prevent the compromise of IoT devices without the need to have in-depth technical administration knowledge, and hence make it viable for customers and end users.

Original languageEnglish
Title of host publication2018 9th International Conference on the Network of the Future, NOF 2018
EditorsFilip Idzikowski, Adrian Kliks, Marcin Rodziewicz, Daphne Tuncer, Prosper Chemouil
PublisherIEEE
Pages88-95
Number of pages8
ISBN (Electronic)9781538685037
DOIs
Publication statusPublished - 3 Jan 2019
Event9th International Conference on Networks of the Future 2018 - Poznan, Poland
Duration: 19 Nov 201821 Nov 2018
Conference number: 9
https://2018.network-of-the-future.org/

Conference

Conference9th International Conference on Networks of the Future 2018
Abbreviated titleNoF 2018
CountryPoland
CityPoznan
Period19/11/1821/11/18
Internet address

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Routers
Botnet
Internet of things
Outages
Internet

Cite this

Dietz, C., Castro, R. L., Steinberger, J., Wilczak, C., Antzek, M., Sperotto, A., & Pras, A. (2019). IoT-Botnet Detection and Isolation by Access Routers. In F. Idzikowski, A. Kliks, M. Rodziewicz, D. Tuncer, & P. Chemouil (Eds.), 2018 9th International Conference on the Network of the Future, NOF 2018 (pp. 88-95). [8598138] IEEE. https://doi.org/10.1109/NOF.2018.8598138
Dietz, Christian ; Castro, Raphael Labaca ; Steinberger, Jessica ; Wilczak, Cezary ; Antzek, Marcel ; Sperotto, Anna ; Pras, Aiko. / IoT-Botnet Detection and Isolation by Access Routers. 2018 9th International Conference on the Network of the Future, NOF 2018. editor / Filip Idzikowski ; Adrian Kliks ; Marcin Rodziewicz ; Daphne Tuncer ; Prosper Chemouil. IEEE, 2019. pp. 88-95
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abstract = "In recent years, emerging technologies such as the Internet of Things gain increasing interest in various communities. However, the majority of IoT devices have little or no protection at software and infrastructure levels and thus are also opening up new vulnerabilities that might be misused by cybercriminals to perform large-scale cyber attacks by means of IoT botnets. These kind of attacks lead to infrastructure and service outages and cause enormous financial loss, image and reputation damage. One approach to proactively block the spreading of such IoT botnets is to automatically scan for vulnerable IoT devices and isolate them from the Internet before they are compromised and also become part of the IoT botnet. The goal of this paper is to present an IoT botnet detection and isolation approach at the level of access routers that makes IoT devices more attack resilient. We show that our IoT botnet detection and isolation approach helps to prevent the compromise of IoT devices without the need to have in-depth technical administration knowledge, and hence make it viable for customers and end users.",
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Dietz, C, Castro, RL, Steinberger, J, Wilczak, C, Antzek, M, Sperotto, A & Pras, A 2019, IoT-Botnet Detection and Isolation by Access Routers. in F Idzikowski, A Kliks, M Rodziewicz, D Tuncer & P Chemouil (eds), 2018 9th International Conference on the Network of the Future, NOF 2018., 8598138, IEEE, pp. 88-95, 9th International Conference on Networks of the Future 2018, Poznan, Poland, 19/11/18. https://doi.org/10.1109/NOF.2018.8598138

IoT-Botnet Detection and Isolation by Access Routers. / Dietz, Christian; Castro, Raphael Labaca; Steinberger, Jessica; Wilczak, Cezary; Antzek, Marcel; Sperotto, Anna; Pras, Aiko.

2018 9th International Conference on the Network of the Future, NOF 2018. ed. / Filip Idzikowski; Adrian Kliks; Marcin Rodziewicz; Daphne Tuncer; Prosper Chemouil. IEEE, 2019. p. 88-95 8598138.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AU - Antzek, Marcel

AU - Sperotto, Anna

AU - Pras, Aiko

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N2 - In recent years, emerging technologies such as the Internet of Things gain increasing interest in various communities. However, the majority of IoT devices have little or no protection at software and infrastructure levels and thus are also opening up new vulnerabilities that might be misused by cybercriminals to perform large-scale cyber attacks by means of IoT botnets. These kind of attacks lead to infrastructure and service outages and cause enormous financial loss, image and reputation damage. One approach to proactively block the spreading of such IoT botnets is to automatically scan for vulnerable IoT devices and isolate them from the Internet before they are compromised and also become part of the IoT botnet. The goal of this paper is to present an IoT botnet detection and isolation approach at the level of access routers that makes IoT devices more attack resilient. We show that our IoT botnet detection and isolation approach helps to prevent the compromise of IoT devices without the need to have in-depth technical administration knowledge, and hence make it viable for customers and end users.

AB - In recent years, emerging technologies such as the Internet of Things gain increasing interest in various communities. However, the majority of IoT devices have little or no protection at software and infrastructure levels and thus are also opening up new vulnerabilities that might be misused by cybercriminals to perform large-scale cyber attacks by means of IoT botnets. These kind of attacks lead to infrastructure and service outages and cause enormous financial loss, image and reputation damage. One approach to proactively block the spreading of such IoT botnets is to automatically scan for vulnerable IoT devices and isolate them from the Internet before they are compromised and also become part of the IoT botnet. The goal of this paper is to present an IoT botnet detection and isolation approach at the level of access routers that makes IoT devices more attack resilient. We show that our IoT botnet detection and isolation approach helps to prevent the compromise of IoT devices without the need to have in-depth technical administration knowledge, and hence make it viable for customers and end users.

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Dietz C, Castro RL, Steinberger J, Wilczak C, Antzek M, Sperotto A et al. IoT-Botnet Detection and Isolation by Access Routers. In Idzikowski F, Kliks A, Rodziewicz M, Tuncer D, Chemouil P, editors, 2018 9th International Conference on the Network of the Future, NOF 2018. IEEE. 2019. p. 88-95. 8598138 https://doi.org/10.1109/NOF.2018.8598138