Uncovering robot joint-level controller actions from encrypted network traffic: Empirical attacks and information-theoretic bounds

Researchers discovered that they can figure out what actions industrial robots are performing just by analyzing encrypted network traffic (data traveling across networks in scrambled form) without being able to read the actual messages. The study shows both practical attacks that successfully identified robot movements and theoretical limits on how much information can be extracted from this type of traffic. This reveals a security gap where encryption alone may not fully protect sensitive robot operations from being monitored.