Collaborative Agent-based Detection of DDoS IoT Botnets

Giachoudis, Nikolaos; Damiris, Georgios-Paraskevas; Theodoridis, Georgios; Σπαθούλας, Γεώργιος

doi:10.1109/dcoss.2019.00055

Cited by 10 publications

(9 citation statements)

References 14 publications

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“…The regression is based on multiple network parameters including ports, number of requests, mean packet size and more. Finally, Reference [175] proposes using a local agent on IoT devices in an installation to collaboratively compute security events to detect botnet attacks. Botnet attacks are determined on the basis of the difference in DDoS traffic and benign network traffic, which is collectively decided upon by the agents.…”

Section: Iot and P2p Botnetsmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

Stege

El-Habr

et al. 2021

Future Internet

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Botnets, groups of malware-infected hosts controlled by malicious actors, have gained prominence in an era of pervasive computing and the Internet of Things. Botnets have shown a capacity to perform substantial damage through distributed denial-of-service attacks, information theft, spam and malware propagation. In this paper, a systematic literature review on botnets is presented to the reader in order to obtain an understanding of the incentives, evolution, detection, mitigation and current trends within the field of botnet research in pervasive computing. The literature review focuses particularly on the topic of botnet detection and the proposed solutions to mitigate the threat of botnets in system security. Botnet detection and mitigation mechanisms are categorised and briefly described to allow for an easy overview of the many proposed solutions. The paper also summarises the findings to identify current challenges and trends within research to help identify improvements for further botnet mitigation research.

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Section: Iot and P2p Botnetsmentioning

confidence: 99%

“…Known ports vulnerable to attacks should also be continually monitored to quickly react to suspicious traffic [212]. Some local IoT agents have also been proposed to collectively mitigate the potential damage of DDoS attacks targeting local IoT installations [175].…”

Section: Mitigation Against Iot Attacks and Botnetsmentioning

confidence: 99%

A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

Stege

El-Habr

et al. 2021

Future Internet

View full text Add to dashboard Cite

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“…The results showed that the system can detect mirai IoT malware. A solution was proposed in [40] [32]. The approach was built for IoT security that is based on distributed multiagent system.…”

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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“…The present paper is an extended version of the paper entitled "Collaborative Agent-based Detection of DDoS IoT Botnets" by Giachoudis et al [13]. The main contribution of the extended version is a blockchain based consensus mechanism, in order for agents to be able to collaboratively detect DDoS attacks.…”

Section: Introductionmentioning

confidence: 99%

“…Section 2.2 presents state of the art with respect to the use of blockchain technology regarding detection and mitigation of DDoS attacks. Section 5 discusses how blockchain technology is employed in order to enhance the algorithm presented in our previous paper [13]. Section 6.2 presents the results regarding the probability of a group of malicious agents being able to create integrity problems for the detection results produced by the proposed scheme.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

et al. 2019

Self Cite

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Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and software. Existing security models, approaches and solutions are not able to sufficiently protect such systems. In this paper we propose the use of lightweight agents installed at multiple internet of things (IoT) installations (e.g., smart-homes), in order to collaboratively detect distributed denial of service (DDoS) attacks conducted by the use of IoT devices botnets. Specifically, agents exchange outbound traffic information in order to identify possible victims of DDoS attacks. This information exchange is governed by a blockchain smart contract, that ensures the integrity of both the procedure and the information. A simulation of the operation of the proposed methodology has been conducted in order to evaluate both its detection efficiency and its resilience against malicious agents that aim to falsify results.

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Collaborative Agent-based Detection of DDoS IoT Botnets

Cited by 10 publications

References 14 publications

A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

Systematic Literature Review on IoT-Based Botnet Attack

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

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