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Leaking Rate Region to Eavesdroppers and Untrusted Relays

Authors: Chan Dai Truyen Thai; Jemin Lee; Tony Q. S. Quek;

Leaking Rate Region to Eavesdroppers and Untrusted Relays

Abstract

The trustworthiness of nodes in a network is practically a complicated concept and strongly depends on the social relationship among the nodes. For a certain model of trustworthiness, the scheme can be optimized to achieve the highest average secrecy rate based on pre-defined information about possibly malicious nodes. In such a scheme, the secrecy rate is considered as a function of the maximum achievable rate (MAR) at the destination, the MAR at the malicious nodes and the corresponding probabilities. However, in some cases, the trustworthiness model is not available, for example, an engineer does not know if a certain node is maliciously eavesdropping, such a function cannot be derived. Consequently, we need to consider the performance of a scheme in a wide range of trustworthiness levels. To evaluate the performance for such a case, in this paper, we propose a novel concept for comparing these leaking rates which is called leaking rate region. We derive the closed form of leaking rate region for the case of two untrusted relays with multiple antennas at the source and the destination.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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