A Secure Contained Testbed for Analyzing IoT Botnets

Kumar, Ayush; Lim, Teng Joon

doi:10.1007/978-3-030-12971-2_8

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…IoT-based botnets are able to benefit from a number of advantages not typically available to their traditional counterparts. Many IoT devices are poorly secured not having default credentials changed or not having their firmware updated [7,19]. These devices are also numerous: the number of IoT devices is predicted to reach over 50 billion devices by 2050 [20].…”

Section: Botnet Structures and Operationsmentioning

confidence: 99%

Examination of Traditional Botnet Detection on IoT-Based Bots

Woodiss-Field,

Johnstone,

Haskell-Dowland

2024

Sensors

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A botnet is a collection of Internet-connected computers that have been suborned and are controlled externally for malicious purposes. Concomitant with the growth of the Internet of Things (IoT), botnets have been expanding to use IoT devices as their attack vectors. IoT devices utilise specific protocols and network topologies distinct from conventional computers that may render detection techniques ineffective on compromised IoT devices. This paper describes experiments involving the acquisition of several traditional botnet detection techniques, BotMiner, BotProbe, and BotHunter, to evaluate their capabilities when applied to IoT-based botnets. Multiple simulation environments, using internally developed network traffic generation software, were created to test these techniques on traditional and IoT-based networks, with multiple scenarios differentiated by the total number of hosts, the total number of infected hosts, the botnet command and control (CnC) type, and the presence of aberrant activity. Externally acquired datasets were also used to further test and validate the capabilities of each botnet detection technique. The results indicated, contrary to expectations, that BotMiner and BotProbe were able to detect IoT-based botnets—though they exhibited certain limitations specific to their operation. The results show that traditional botnet detection techniques are capable of detecting IoT-based botnets and that the different techniques may offer capabilities that complement one another.

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Section: Botnet Structures and Operationsmentioning

confidence: 99%

Examination of Traditional Botnet Detection on IoT-Based Bots

Woodiss-Field,

Johnstone,

Haskell-Dowland

2024

Sensors

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“…A maioria dos testbeds de cibersegurança na literatura é baseada em técnicas de virtualização [Kumar and Lim 2018]. Aqueles voltados à IoT são específicos para uma aplicação [Muchtar et al 2018, Gunduz andDas 2018] e não suportam experimentos de cibersegurança ou não compreendem os dados do tráfego de rede [Gyrard and Serrano 2015].…”

Section: Trabalhos Relacionadosunclassified

Um Ambiente de Experimentação em Cibersegurança para Internet das Coisas

Prates¹,

Andrade²,

Mello³

et al. 2021

Anais Do VI Workshop Do Testbed FIBRE (WFIBRE 2021)

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A grande escala da Internet das Coisas exige estruturas complexas capazes de suportar cenários experimentais com escala suficiente para avaliar eficientemente soluções de cibersegurança contra ataques DDoS baseados em botnets. Este trabalho descreve uma arquitetura para o MENTORED Testbed, um ambiente de experimentação criado sobre a Infraestrutura Definida por Software da Rede Nacional de Ensino e Pesquisa (IDS-RNP). O testbed cria experimentos com redes de longa distância, tecnologias de nuvem e com dispositivos sem fio inseridos nos servidores do IDS-RNP. O comportamento do testbed foi analisado por meio de um caso de uso que reproduz automaticamente capturas de rede em um cenário realístico para avaliar propostas de detecção de botnets.

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“…Kumar and Lim built a testbed that will be used to evaluate IoT botnets. The authors further designed a mitigation technique that will be used against them [17]. The name of this testbed proposed is DETERLAB-based IoT testbed.…”

Section: A Rq1:what Are the Contributions Of The Primary Studies?mentioning

confidence: 99%

Systematic Literature Review on IoT-Based Botnet Attack

et al. 2020

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The adoption of the Internet of Things (IoT) technology is expanding exponentially because of its capability to provide a better service. This technology has been successfully implemented on various devices. The growth of IoT devices is massive at present. However, security is becoming a major challenge with this growth. Attacks, such as IoT-based botnet attacks, are becoming frequent and have become popular amongst attackers.IoT has a resource constraint and heterogeneous environments, such as low computational power and memory. Hence, these constraints create problems in implementing a security solution in IoT devices. Therefore, various kind of attacks are possible due to this vulnerability, with IoT-based botnet attack being one of the most popular.In this study, we conducted a comprehensive systematic literature review on IoT-based botnet attacks. Existing state of the art in the area of study was presented and discussed in detail. A systematic methodology was adopted to ensure the coverage of all important studies. This methodology was detailed and repeatable. The review outlined the existing proposed contributions, datasets utilised, network forensic methods utilised and research focus of the primary selected studies. The demographic characteristics of primary studies were also outlined.The result of this review revealed that research in this domain is gaining momentum, particularly in the last 3 years (2018-2020). Nine key contributions were also identified, with Evaluation, System, and Model being the most conducted.

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A Secure Contained Testbed for Analyzing IoT Botnets

Cited by 10 publications

References 11 publications

Examination of Traditional Botnet Detection on IoT-Based Bots

Examination of Traditional Botnet Detection on IoT-Based Bots

Um Ambiente de Experimentação em Cibersegurança para Internet das Coisas

Systematic Literature Review on IoT-Based Botnet Attack

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