The issues of IoT networks and systems privacy considered with particular focus on mobile robotics remote control. Despite the IT-cybersecurity significant progress, new tasks and threats emerge, such as unmanned mobile devices of mass disposable with remote control, for which known approaches are not efficient enough. In this respect, a novel Turing machine-based method has been developed in this work for high-protected remote control of an IoT mobile platform. An original flow-chart of IoT mobile platform control introduced. A special system-interoperability model originated for IoT-platform remote communication. A Turing machine formalism defined for flexible frame encoding, along with a sender-receiver interaction protocol. A Turing machine tags-table specified on the set of ternary alphabet-symbols, as well as a formal grammar syntax for volatile frame encoding with two typical patterns. A Turing machine algorithm has been constructed for high-protected control of a robotics mobile platform. Due to this, special mobile objects can apply unique low-cost encryption schemes of unpredictable frame encoding to make communication channel harder to hack. The results of the work intend to improve the mobile objects cyber-threats protection, as well as to remote vehicle control and other real-time IoT-applications.