The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Wireless device identification with radiometric signatures
Abstract
We design, implement, and evaluate a technique to identify the source network interface card (NIC) of an IEEE 802.11 frame through passive radio-frequency analysis. This technique, called PARADIS, leverages minute imperfections of transmitter hardware that are acquired at manufacture and are present even in otherwise identical NICs. These imperfections are transmitter-specific and manifest themselves as artifacts of the emitted signals. In PARADIS, we measure differentiating artifacts of individual wireless frames in the modulation domain, apply suitable machine-learning classification tools to achieve significantly higher degrees of NIC identification accuracy than prior best known schemes.
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LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
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Deep Learning Convolutional Neural Networks for Radio Identification
Riyaz, S., Sankhe, K., Ioannidis, S., & Chowdhury, K. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1800153 · Cited by 378
Privacy in mobile technology for personal healthcare
Avancha, S., Baxi, A., & Kotz, D. (2012) · ACM Computing Surveys · doi:10.1145/2379776.2379779 · Cited by 229
S2M: A Lightweight Acoustic Fingerprints-Based Wireless Device Authentication Protocol
Chen, D., Zhang, N., Qin, Z., Mao, X., Qin, Z., Shen, X., & Li, X.-Y. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2619679 · Cited by 164
A threat taxonomy for mHealth privacy
Kotz, D. (2011) · 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011) · doi:10.1109/comsnets.2011.5716518 · Cited by 101
Metadata
- Authors
- Brik, V., Banerjee, S., Gruteser, M., & Oh, S.
- Venue
- Proceedings of the 14th ACM international conference on Mobile computing and networking
- Publisher
- ACM
- Published
- 2008-09-14
- Pages
- 116-127
- OpenAlex
- W2155886813
- Cited by
- 851
- References
- 2
- FWCI
- 22.08
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Brik, V., Banerjee, S., Gruteser, M., & Oh, S. (2008). Wireless device identification with radiometric signatures. Proceedings of the 14th ACM international conference on Mobile computing and networking. https://doi.org/10.1145/1409944.1409959
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