  In this paper, we introduce a Learning Assisted Side Channel delay Analysis
(LASCA) methodology for Hardware Trojan detection. Our proposed solution,
unlike the prior art, does not require a Golden IC. Instead, it trains a Neural
Network to act as a process tracking watchdog for correlating the static timing
data (produced at design time) to the delay information obtained from clock
frequency sweeping (at test time) for the purpose of Trojan detection. Using
the LASCA flow, we detect close to 90% of Hardware Trojans in the simulated
scenarios.
