Self-adaptive RFID Authentication for Internet of Things

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER. Self-adaptive RFID Authentication for Internet of Things. In Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). Matsue, Japan: Springer, Advances in Intelligent Systems and Computing, 2020, s. 1094-1105. ISBN 978-3-030-15031-0. Dostupné z: https://dx.doi.org/10.1007/978-3-030-15032-7_92.

Základní údaje

Originální název

Self-adaptive RFID Authentication for Internet of Things

Autoři

MBAREK, Bacem (788 Tunisko, domácí), Mouzhi GE (156 Čína, garant, domácí) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

Matsue, Japan, Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019), od s. 1094-1105, 12 s. 2020

Nakladatel

Springer, Advances in Intelligent Systems and Computing

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Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14330/20:00115027

Organizační jednotka

Fakulta informatiky

ISBN

978-3-030-15031-0

ISSN

DOI

http://dx.doi.org/10.1007/978-3-030-15032-7_92

Klíčová slova anglicky

Internet of Things;RFID;Authentication;Jamming attack;Security

Štítky

core_B, firank_B

Příznaky

Mezinárodní význam, Recenzováno

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Anotace

V originále

With the development of wireless Internet of Things (IoT) devices, Radio frequency identification (RFID) has been used as a promising technology for the proliferation and communication in IoT networks. However, the RFID techniques are usually plagued with security and privacy issues due to the inherent weaknesses of underlying wireless radio communications. Although several RFID authentication mechanisms have been proposed to address the security concerns in RFID, most of them are still vulnerable to some active attacks, especially the jamming attack. This paper therefore proposes a novel self-adaptive authentication mechanism with a robust key updating, in order to tackle the security vulnerabilities of key updating algorithms and their inability to jamming attacks. Furthermore, we assess the performance and applicability of our solution with a thorough simulation by taking into account the energy consumption and authentication failure rate.