Home Assistant platform under DDoS attacks for IPv4 and IPv6 networks

This study investigates the resistance of the Home Assistant platform under different types of Distributed Denial of Service (DDoS) attacks, namely TCP SYN flood, UDP flood, and ICMP flood, in IPv4 and IPv6 network environments. With the increasing number of IoT devices, the security of smart home systems is becoming an issue of paramount importance. The study focuses on the impact of these attacks on the security and availability of the Home Assistant platform, testing different attack intervals to assess the resistance of the system. The results show differences in the performance and vulnerability of IPv4 and IPv6 networks to high-frequency attacks. The findings highlight the need for robust mitigation strategies to improve the security and reliability of smart home systems.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/informatics62280.2024.10900854
Citations
2
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.70
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article

Home Assistant platform under DDoS attacks for IPv4 and IPv6 networks

Marek Šimon, Ladislav Huraj, Dominik Hrinkino
2 citations
Network Security and Intrusion Detection
0.70
article

Home Assistant platform under DDoS attacks for IPv4 and IPv6 networks

Marek Šimon, Ladislav Huraj, Dominik Hrinkino
article en
2 citations

Abstract

This study investigates the resistance of the Home Assistant platform under different types of Distributed Denial of Service (DDoS) attacks, namely TCP SYN flood, UDP flood, and ICMP flood, in IPv4 and IPv6 network environments. With the increasing number of IoT devices, the security of smart home systems is becoming an issue of paramount importance. The study focuses on the impact of these attacks on the security and availability of the Home Assistant platform, testing different attack intervals to assess the resistance of the system. The results show differences in the performance and vulnerability of IPv4 and IPv6 networks to high-frequency attacks. The findings highlight the need for robust mitigation strategies to improve the security and reliability of smart home systems.

University of Ss. Cyril and Methodius in Trnava (SK)
Openalex Percentile: Top 25%
Network Security and Intrusion Detection
0.70
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