Physical Layer Privacy in Broadcast Channels
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In industrial IoT scenarios, attackers observe communication systems to find relations between transmitted messages and receivers, in order to conduct impersonation or man-in-the-middle attacks. Therefore, unlinkability and anonymity are desirable properties of the corresponding communications. In this paper, we connect the differential privacy (DP)-based notion, receiver-message unlinkability (RML), to the physical layer secrecy metrics for a degraded discrete memoryless broadcast channel including two receivers and an external adversary. To characterize this connection, we show that Kullback-Leibler-DP-based RML, (0,δ)-DP-based RML, strong secrecy, and distinguishing secrecy are equivalent up to a multiplicative constant. We then analyze the achievable rate region of the DP-based RML for the considered model by adapting a coding scheme which can achieve strong secrecy. A numerical comparison of the achievable rate regions of binary symmetric degraded broadcast channels under RML, strong secrecy, and a case without secrecy or privacy constraint illustrates the relationship.
Details
| Original language | English |
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| Title of host publication | 2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (electronic) | 978-1-7281-3217-4 |
| Publication status | Published - Dec 2019 |
| Peer-reviewed | Yes |
Publication series
| Series | IEEE International Workshop on Information Forensics and Security (WIFS) |
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Workshop
| Title | 11th IEEE International Workshop on Information Forensics and Security |
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| Abbreviated title | WIFS 2019 |
| Conference number | 11 |
| Duration | 9 - 12 December 2019 |
| Website | |
| Degree of recognition | International event |
| Location | Mekelzalen located in the Science Centre Delft |
| City | Delft |
| Country | Netherlands |
External IDs
| Scopus | 85083025849 |
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