Secure Gossip Algorithm for Industrial Networks
Camilla Fioravanti, Ernesto Del Prete, Roberto Setola · 2025
In a rapidly evolving industrial environment, securing communications is a fundamental need. In particular, safeguarding the integrity and confidentiality of information exchanged within the industrial network remains a critical priority. For this purpose, a two-level architecture has been developed that includes: (i) the distributed network layer that implements an average gossip protocol while applying a geometric encryption strategy aimed at preserving confidentiality; (ii) a higher-level verifier that is able to detect false data injection attacks and remediate them through a compensation mechanism. Thanks to the compensation strategy performed by the verifier, which communicates ad-hoc quantities to the benign agents, it will be possible for them to converge to the average of all initial conditions, including those of the nodes flagged as malicious. The paper is correlated with a simulation campaign aimed at establishing the effectiveness of the theoretical results.