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Remote Physical Device Fingerprinting
Abstract
We introduce the area of remote physical device fingerprinting, or fingerprinting a physical device, as opposed to an operating system or class of devices, remotely, and without the fingerprinted device's known cooperation. We accomplish this goal by exploiting small, microscopic deviations in device hardware: clock skews. Our techniques do not require any modification to the fingerprinted devices. Our techniques report consistent measurements when the measurer is thousands of miles, multiple hops, and tens of milliseconds away from the fingerprinted device and when the fingerprinted device is connected to the Internet from different locations and via different access technologies. Further, one can apply our passive and semipassive techniques when the fingerprinted device is behind a NAT or firewall, and. also when the device's system time is maintained via NTP or SNTP. One can use our techniques to obtain information about whether two devices on the Internet, possibly shifted in time or IP addresses, are actually the same physical device. Example applications include: computer forensics; tracking, with some probability, a physical device as it connects to the Internet from different public access points; counting the number of devices behind a NAT even when the devices use constant or random IP IDs; remotely probing a block of addresses to determine if the addresses correspond to virtual hosts, e.g., as part of a virtual honeynet; and unanonymizing anonymized network traces.
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Cited by
Using the physical layer for wireless authentication in time-variant channels
Xiao, L., Greenstein, L., Mandayam, N., & Trappe, W. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2008.070194 · Cited by 384
Privacy in the Smart City—Applications, Technologies, Challenges, and Solutions
Eckhoff, D., & Wagner, I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2748998 · Cited by 287
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping
Apthorpe, N., Huang, D. Y., Reisman, D., Narayanan, A., & Feamster, N. (2019) · Proceedings on Privacy Enhancing Technologies · doi:10.2478/popets-2019-0040 · Cited by 192
An Architecture for Privacy-ABCs
Bichsel, P., Camenisch, J., Dubovitskaya, M., Enderlein, R. R., Krenn, S., Krontiris, I., Lehmann, A., Neven, G., Paquin, C., Preiss, F.-S., et al. (2015) · Attribute-based Credentials for Trust · doi:10.1007/978-3-319-14439-9_2 · Cited by 17
Understanding Security Risks of Embedded Devices Through Fine-Grained Firmware Fingerprinting
Li, Q., Tan, D., Ge, X., Wang, H., Li, Z., & Liu, J. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2021.3119970 · Cited by 17
Metadata
- Authors
- Kohno, T., Broido, A., & Claffy, K. C.
- Venue
- IEEE Transactions on Dependable and Secure Computing
- Published
- 2005-02
- Volume
- 2
- Issue
- 2
- Pages
- 93-108
- ISSN
- 0361-1434 (ISSN-L)
- OpenAlex
- W2104599106
- Cited by
- 521
- References
- 0
- FWCI
- 13.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kohno, T., Broido, A., & Claffy, K. C. (2005). Remote Physical Device Fingerprinting. IEEE Transactions on Dependable and Secure Computing. https://doi.org/10.1109/tdsc.2005.26
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