Modern cyber-physical systems have become the backbone of Indus- try 4.0.With the increasing popularity and usage of such systems the privacy aspect is also becoming a pertinent issue because the sensitive user data drives the whole CPS ecosystem .In this paper we have modeled the privacy preserva- tion problem as a game in which by application of no-regret learning mecha- nism, we intend to minimize the privacy loss. Furthermore the experimental re- sults indicate the promising nature of the performance of the technique and we have also addressed the challenges faced by the proposed mechanism. In future we want to provide a case study for the applicability of our novel technique in a controlled CPS setup.