Cryptology ePrint Archive: Report 2009/246

On-Chip Electric Waves: An Analog Circuit Approach to Physical Uncloneable Functions

Gy\"{o}rgy Csaba \and Xueming Ju \and Qingqing Chen \and Wolfgang Porod \and J{\"u}rgen Schmidhuber \and Ulf Schlichtmann \and Paolo Lugli \and Ulrich R{\"u}hrmair

Abstract: This paper proposes the use of Cellular Non-Linear Networks (CNNs) as physical uncloneable functions (PUFs). We argue that analog circuits offer higher security than existing digital PUFs and that the CNN paradigm allows us to build large, unclonable, and scalable analog PUFs, which still show a stable and repeatable input--output behavior.

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 format(s): PDF | BibTeX Citation

Version: 20090530:160249 (All versions of this report)

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