Masking Algorithm for Multiple Crosstalk Attack Source Identification Under Greedy Sparse Monitoring

Abstract

In this article, a multiple crosstalk attacks source identification algorithm under sparse monitoring called Masking algorithm is proposed where the placement of monitors is selected based on the Greedy sparse monitor placement algorithm. The result obtained show that the proposed algorithm successfully identifies multiple sources of crosstalk attack under worst case scenario of 3-level crosstalk attack propagation model in 8-node Grid and Europe 11-node COST239 networks

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SHDL@MMU Digital Repository

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Last time updated on 21/05/2018

This paper was published in SHDL@MMU Digital Repository.

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