Identification of Synthesis Approaches for IP/IC Piracy of Reversible Circuits
Sprache des Titels:
Englisch
Original Kurzfassung:
Reversible circuits employ a computational paradigm that is beneficial for several applications including
the design of encoding and decoding devices, low-power design, and emerging applications in quantum
computation. However, similar to conventional logic, reversible circuits are expected to be subject to Intellectual
Property/Integrated Circuit piracy. To counteract such attacks, an understanding of how to identify the target
function from a reversible circuit is a crucial first step. In contrast to conventional logic, the target function
is (implicitly or explicitly) embedded into the reversible circuit. Numerous synthesis approaches have been
proposed for this embedding task. To recover the target function embedded in a reversible circuit, one needs
to know what synthesis approach has been used to embed the circuit.
We propose a machine learning-based scheme to determine the used reversible synthesis approach based
on the telltale signs it leaves in the synthesized reversible circuit. We study the impact of optimizing the
synthesis approaches on the telltale signs that they leave. Our analysis shows that the synthesis approaches
can be determined in the vast majority of cases even if optimized versions of the synthesis approaches are used.
Sprache der Kurzfassung:
Englisch
Journal:
ACM Journal on Emerging Technologies in Computing Systems
Forschungs-