Quantitative comparison of indoor RFID channel models using bootstrap techniques

Choudhury, Samiul Hayder; Smith, M. R.

doi:10.1109/wcnc.2014.6951921

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…For example, channel models have been proposed for RFID networks in (Smietanka & Gotze, 2012;Choudhury & Smith, 2014;Malison et al, 2008;Arnitz et al, 2010;Li et al, 2011;Chen et al, 2011). The goal of those studies is to determine optimal communication performance in terms of lower OSI layer metrics such as antenna diversity gain, signal-to-noise ratio, bit error rate, path loss, etc.…”

Section: The Promise Of Anomaly Detection and Traffic Modeling For Sy...mentioning

confidence: 99%

Survey of Security Challenges in NFC and RFID for E-Health Applications

Prodanoff

Jones

Chi

et al. 2016

International Journal of E-Health and Medical Communications

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Hospitals worldwide have implemented High Frequency (HF) Radio Frequency Identification (RFID) networks for supplies tracking in ER setting, in-patient identification, surgical instrument management, and other applications. Merging of Web, Near Filed Communication (NFC), and HF RFID technologies for their combined use in e-Health applications is a logical next step due to the wide availability of NFC-enabled smartphones. This article outlines some resulting security challenges. Tags are often compliant with multiple standards that operate in the same frequency range. For example, HF RFID tags have already been adopted for in-patient tracking, yet smartphone NFC reader apps can freely access data on those tags. While tag– or session–centered security protocols exist for some RFID standards (e.g. ISO/IEC 29167), no ISO security standard is currently available for HF RFID tags. In such systems, proper traffic characterization can lead to better understanding of operation under “normal” system state conditions and could potentially help to identify security breaches.

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