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@inproceedings{1486478, author = {Mbarek, Bacem and Ge, Mouzhi and Pitner, Tomáš}, address = {Matsue, Japan}, booktitle = {Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019)}, doi = {http://dx.doi.org/10.1007/978-3-030-15032-7_92}, keywords = {Internet of Things;RFID;Authentication;Jamming attack;Security}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Matsue, Japan}, isbn = {978-3-030-15031-0}, pages = {1094-1105}, publisher = {Springer, Advances in Intelligent Systems and Computing}, title = {Self-adaptive RFID Authentication for Internet of Things}, year = {2020} }
TY - JOUR ID - 1486478 AU - Mbarek, Bacem - Ge, Mouzhi - Pitner, Tomáš PY - 2020 TI - Self-adaptive RFID Authentication for Internet of Things PB - Springer, Advances in Intelligent Systems and Computing CY - Matsue, Japan SN - 9783030150310 KW - Internet of Things;RFID;Authentication;Jamming attack;Security N2 - 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. ER -
MBAREK, Bacem, Mouzhi GE a Tomáš PITNER. Self-adaptive RFID Authentication for Internet of Things. In \textit{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.
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