CNNs are dynamical arrays of locally-interconected cells, with a cell dynamics that depends upon the interconnection strengths to their neighbors. They can be designed to evolve in time according to partial differential equations. If this equation describes a physical phenomenon, then the CNN can simulate a complex physical system on-chip. This can be exploited to create electrical PUFs with high relevant structural information content.
To illustrate our paradigm at work, we design a circuit that directly emulates nonlinear wave propagation phenomena in a random media. It effectively translates the complexity of optical PUFs into electrical circuits. %&, leading to better practicality, while maintaining or even improving the security properties of their optical counterparts.Category / Keywords: Physical Uncloneable Functions (PUF), Analog circuits, Cellular Nonlinear Networks (CNN) Publication Info: Published or accepted nowhere. Future submissions elsewhere are intended. Date: received 29 May 2009 Contact author: ruehrmai at in tum de Available formats: PDF | BibTeX Citation Version: 20090530:160249 (All versions of this report) Discussion forum: Show discussion | Start new discussion