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Dive into the research topics where Jim Aarestad is active.

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Featured researches published by Jim Aarestad.


IEEE Design & Test of Computers | 2013

HELP: A Hardware-Embedded Delay PUF

Jim Aarestad; Philip Ortiz; Dhruva Acharyya; Jim Plusquellic

Physical Unclonable Functions enable a secure alternative method to traditional key storage and authentication schemes. This paper presents a novel PUF design that utilizes the existing path delays of a design to generate a random and stable bitstring of desired length with minimal area and performance overhead.


international conference on communications | 2012

Modular FPGA-based software defined radio for CubeSats

Steven J. Olivieri; Jim Aarestad; L. Howard Pollard; Alexander M. Wyglinski; Craig Kief; R. Scott Erwin

In this paper, we present an adaptive digital communication system using field programmable gate array (FPGA) technology. This system adapts the Universal Software Radio Peripheral (USRP) to better suit the space and power limitations of the CubeSat satellite form factor and the Space Plug-and-Play Avionics (SPA) protocol. The result is a highly-adaptive, plug and play software-defined radio (SDR) that is easily incorporated into any CubeSat design.


Iet Computers and Digital Techniques | 2014

ASIC implementation of a hardware-embedded physical unclonable function

Fareena Saqib; Matthew Areno; Jim Aarestad; Jim Plusquellic

Within-die variations in path delays are increasing with scaling. Although higher levels of within-die delay variations are undesirable from a design perspective, they represent a rich source of entropy for applications that make use of ‘secrets’, such as authentication, hardware metering and encryption. Physical unclonable functions or PUFs are a class of circuit primitives that leverage within-die variations as a means of generating random bitstrings for these types of applications. In this study, the authors present test chip results of a hardware-embedded delay PUF (HELP) that extracts entropy from the stability characteristics and within-die variations in path delays. HELP obtains accurate measurements of path delays within core logic macros using an embedded test structure called regional delay behaviour (REBEL). REBEL provides capabilities similar to an off-chip logic analyser, and allows very fast analysis of the temporal behaviour of signals emerging from paths in a core logic macro. Statistical characteristics related to the randomness, reproducibility and uniqueness of the bitstrings produced by HELP are evaluated across industrial-level temperature and supply voltage variations.


hardware oriented security and trust | 2013

Error-tolerant bit generation techniques for use with a hardware-embedded path delay PUF

Jim Aarestad; Jim Plusquellic; Dhruva Acharyya

Cryptographic and authentication applications in application-specific integrated circuits (ASICs) and FPGAs, as well as codes for the activation of on-chip features, require the use of embedded secret information. The generation of secret bitstrings using physical unclonable functions, or PUFs, provides several distinct advantages over conventional methods, including the elimination of costly non-volatile memory, and the potential to increase the number of random bits available to applications. In this paper, we propose a Hardware-Embedded Delay PUF (HELP) that is designed to leverage path delay variations that occur in the core logic macros of a chip to create random bitstrings. The bitstrings produced by a set of 30 FPGA boards are evaluated with regard to several statistical quality metrics including uniqueness, randomness, and stability. The stability characteristics of the bitstrings are evaluated by subjecting the FPGAs to commercial-level temperature and supply voltage variations. In particular, we evaluate the reproducibility of the bitstrings generated at 0°C, 25°C, and 70°C, and at nominal and ±10% of the supply voltage. An error avoidance scheme is proposed that provides significant improvement against bit-flip errors in the bitstrings.


photovoltaic specialists conference | 2014

Reconfigurable power management using novel monolithically integrated CMOS-on-PV switch

Jonathan West; Somayeh Imani; Olga Lavrova; William Cavanaugh; Jing Ju; Kanamu Pupuhi; Smitha Keshavmurthy; Jim Aarestad; Payman Zarkesh-Ha

This paper presents a novel reconfigurable power management architecture for PV modules. This architecture allows for operation or isolation (islanding) of individual or groups of cells. Flexible Voc and Isc combinations may be achieved with switching speeds up to 1MHz. Multiple advantages and functionalities can be achieved, such as lower power losses if one cell is shaded or degrading, variable optimized maximum power point tracking, integrated monitoring and communication from PV modules, longer lifetime and others. In order to properly understand the benefits of cell-level switching, bypassing and MPPT, a simulation framework was developed using NGSPICE and Octave which allows component-level simulation of PV modules.


IEEE Transactions on Information Forensics and Security | 2010

Detecting Trojans Through Leakage Current Analysis Using Multiple Supply Pad

Jim Aarestad; Dhruva Acharyya; Reza M. Rad; Jim Plusquellic


AIAA SPACE 2014 Conference and Exposition | 2014

{I}_{\rm DDQ}

Craig Kief; Jim Aarestad; Eric MacDonald; Corey Shemelya; David A. Roberson; Ryan B. Wicker; Andy M. Kwas; Mike Zemba; Keith Avery; Richard Netzer; William Kemp


Archive | 2014

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Andrew Kwas; Eric MacDonald; Dan Muse; Ryan B. Wicker; Craig Kief; Jim Aarestad; Mike Zemba; Bill Marshall; Carol Tolbert; Brett Connor


Archive | 2017

Printing multi-functionality: Additive manufacturing for cubesats

Nick Buonaiuto; Mark Louie; Jim Aarestad; Rohit Mital; Dennis Mateik; Robert Sivilli; Apoorva Bhopale; Craig Kief; Brian Zufelt


Archive | 2017

Enabling Technologies for Entrepreneurial Opportunities in 3D printing of SmallSats

Criag Kief; Nick Buonaiuto; Mark Louie; Jim Aarestad; Rohit Mital; Robert Monical; Robert Sivilli; Apoorva Bhopale; Brian Zufelt

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Craig Kief

University of New Mexico

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Brian Zufelt

University of New Mexico

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Eric MacDonald

University of Texas System

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Ryan B. Wicker

University of Texas at El Paso

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Alexander M. Wyglinski

Worcester Polytechnic Institute

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Andy M. Kwas

University of New Mexico

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Corey Shemelya

University of Texas at El Paso

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Dan Muse

University of Texas at El Paso

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