  This work mainly addresses continuous-time multiagent consensus networks
where an adverse attacker affects the convergence performances of said
protocol. In particular, we develop a novel secure-by-design approach in which
the presence of a network manager monitors the system and broadcasts encrypted
tasks (i.e., hidden edge weight assignments) to the agents involved. Each agent
is then expected to decode the received codeword containing data on the task
through appropriate decoding functions by leveraging advanced security
principles, such as objective coding and information localization. Within this
framework, a stability analysis is conducted for showing the robustness to
channel tampering in the scenario where part of the codeword corresponding to a
single link in the system is corrupted. A tradeoff between objective coding
capability and network robustness is also pointed out. To support these
novelties, an application example on decentralized estimation is provided.
Moreover, an investigation of the robust agreement is as well extended in the
discrete-time domain. Further numerical simulations are given to validate the
theoretical results in both the time domains.
