Collaborative blockchain-based detection of distributed denial of service attacks based on internet of things botnets

46Citations
Citations of this article
98Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Spathoulas, G., Giachoudis, N., Damiris, G. P., & Theodoridis, G. (2019). Collaborative blockchain-based detection of distributed denial of service attacks based on internet of things botnets. Future Internet, 11(11). https://doi.org/10.3390/fi11110226

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free