Publications

Abstract not provided.

Manufacturers often buy and/or license communication ICs from third-party suppliers. These communication ICs are then integrated into a complex computational system, resulting in a wide range of potential hardware-software security issues. This work proposes a compact supervisory circuit to classify the Bluetooth profile operation of a Bluetooth System-on-Chip (SoC) at low frequencies by monitoring the radio frequency (RF) output power of the Bluetooth SoC. The idea is to inexpensively manufacture an RF envelope detector to monitor the RF output power and a profile classification algorithm on a custom low-frequency integrated circuit in a low-cost legacy technology. When the supervisory circuit observes unexpected behavior, it can shut off power to the Bluetooth SoC. In this preliminary work, we proto-type the supervisory circuit using off-the-shelf components to collect a sufficient data set to train 11 different Machine Learning models. We extract smart descriptive time-domain features from the envelope of the RF output signal. Then, we train the machine learning models to classify three different Bluetooth operation profiles: sensor, hands-free, and headset. Our results demonstrate 100% classification accuracy with low computational complexity.∼

Towards the goal of enhanced hardware security, this work proposes compact supervisory circuits to perform low-frequency monitoring of a communication SoC. The communication RF output is monitored through an integrated RF envelope detector. The input supply to the transceiver block of the SoC is delivered by an integrated linear voltage regulator with output current monitoring. These two supervisory circuits are inexpensively fabricated in 0.6-μm technology. The useful bandwidth of the envelope detector is measured as 1-6 GHz at a supply of 3.3 VDC and quiescent current of 2.65 mA. The linear regulator generates 3.3 VDC using an input of 5 VDC, quiescent current of 1.83 mA, and load current from 1-120 mA. Static and transient load current tests demonstrate linear output current monitoring.

Abstract not provided.

Abstract not provided.

We explore fabrication-process dependencies on optical losses of AlN films and demonstrate Second Harmonic Generation through modal phase-matching in integrated AlN waveguides. A loss-dependent conversion efficiency model is developed to better design waveguides in lossy AlN media.

Abstract not provided.