2023
DOI: 10.1016/j.ijcip.2023.100641
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Ensuring the longevity of WirelessHART devices in industrial automation and control systems using distinct native attribute fingerprinting

Matthew J. Maier,
Hunter S. Hayden,
Michael A. Temple
et al.
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Cited by 1 publication
(12 citation statements)
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“…WirelessHART Signals in Section 2.1-provides details for the WirelessHART adapters being discriminated, the Frequency-Hopped Time Division Multiple Access (FH-TDMA) process used to add multi-channel Cross-Channel Interference (CCI) effects, and the Signal-to-Interference-plus-Noise (SINR) ratio scaling process used to induce varying channel effects. The use of CCI-laden bursts here for the initial demonstration was (i) a matter of experimental convenience given that the single-channel Wire-lessHART bursts and the FH-TDMA process for coherently combining them were available [14]; and (ii) it was believed that discrimination using CCI-laden bursts presented a greater challenge when compared with single-channel discrimination; 2.…”
Section: Demonstration Methodologymentioning
confidence: 99%
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“…WirelessHART Signals in Section 2.1-provides details for the WirelessHART adapters being discriminated, the Frequency-Hopped Time Division Multiple Access (FH-TDMA) process used to add multi-channel Cross-Channel Interference (CCI) effects, and the Signal-to-Interference-plus-Noise (SINR) ratio scaling process used to induce varying channel effects. The use of CCI-laden bursts here for the initial demonstration was (i) a matter of experimental convenience given that the single-channel Wire-lessHART bursts and the FH-TDMA process for coherently combining them were available [14]; and (ii) it was believed that discrimination using CCI-laden bursts presented a greater challenge when compared with single-channel discrimination; 2.…”
Section: Demonstration Methodologymentioning
confidence: 99%
“…RF signal "eventization" holds promise for decreasing the overall required power by reducing the amount of data required by downstream processes. For RF fingerprinting applications [14], this includes reducing the amount of data required for fingerprint generation and device discrimination by using features extracted from information-bearing event data.…”
Section: Research Motivationmentioning
confidence: 99%
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