  This work addresses multi-agent consensus networks where adverse attackers
affect the convergence performances of the protocol by manipulating the edge
weights. We generalize (Fabris and Zelazo, 2022) and provide guarantees on the
agents' agreement in the presence of attacks on multiple links in the network.
A stability analysis is conducted to show the robustness to channel tampering
in the scenario where part of the codeword, corresponding to the value of the
edge weights, is corrupted. Exploiting the built-in objective coding, we show
how to compensate the conservatism that may emerge because of multiple threats
in exchange for higher encryption capabilities. Numerical examples related to
semi-autonomous networks are provided.
