Cyber-physical systems (CPSs) and the Internet of Things (IoT) are converging towards a hybrid platform that is becoming ubiquitous in all modern infrastructures. The massive deployment of  CPS requires comprehensive, secure, and reliable communication. The integration of complex and heterogeneous systems makes enormous space for the adversaries to get into the network and inject malicious data. To obfuscate and mislead the attackers, we propose DDAF, a deception defense-based data acquisition framework for a hierarchical communication network of CPSs.

This CPS proposal focuses on developing scientific foundations for the research area of CPS Security and Privacy.  Our novelty is that while security and privacy are two properties we want these systems to provide, they have not been addressed jointly before.