Self-adaptive RFID Authentication for Internet of Things

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115027" target="_blank" >RIV/00216224:14330/20:00115027 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-030-15032-7_92" target="_blank" >http://dx.doi.org/10.1007/978-3-030-15032-7_92</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-15032-7_92" target="_blank" >10.1007/978-3-030-15032-7_92</a>

Result language

angličtina

Original language name

Self-adaptive RFID Authentication for Internet of Things

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019)

ISBN

9783030150310

ISSN

2194-5357

e-ISSN

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Number of pages

12

Pages from-to

1094-1105

Publisher name

Springer, Advances in Intelligent Systems and Computing

Place of publication

Matsue, Japan

Event location

Matsue, Japan

Event date

Jan 1, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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