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arXiv · 1701.04958

Private Broadcasting: an Index Coding Approach

Mohammed Karmoose·Linqi Song·Martina Cardone·Christina Fragouli
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Abstract

Using a broadcast channel to transmit clients' data requests may impose privacy risks. In this paper, we address such privacy concerns in the index coding framework. We show how a malicious client can infer some information about the requests and side information of other clients by learning the encoding matrix used by the server. We propose an information-theoretic metric to measure the level of privacy and show how encoding matrices can be designed to achieve specific privacy guarantees. We then consider a special scenario for which we design a transmission scheme and derive the achieved levels of privacy in closed-form. We also derive upper bounds and we compare them to the levels of privacy achieved by our scheme, highlighting that an inherent trade-off exists between protecting privacy of the request and of the side information of the clients.

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Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli. 2017-01-18. Private Broadcasting: an Index Coding Approach. https://doi.org/10.1109/isit.2017.8006988

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