Modern Printed Circuit Boards (PCB) contain sophisticated and valuable electronic components, and this makes them a prime target for counterfeiting. In this thesis, we consider a method to test if a PCB is genuine. One high-level solution is to use a secret identifier of the board, together with a cryptographic authentication protocol. We describe a mechanism that authenticates all major components of PCB as part of attesting the PCB. Our authentication protocol constructs the fingerprint of PCB by extracting hardware fingerprint from the components on PCB and cryptographically combining the fingerprints. Fingerprints from each component on PCB are developed using Physical Unclonable Functions (PUF).
In this thesis, we present a PUF based authentication protocol for remote integrity checking using multiple PUF component level identifiers. We address the design on 3 different abstraction levels. 1)Hardware Level, 2)Hardware Integration level, 3)Protocol level. On the hardware level, we propose an approach to develop PUF from flash memory component on the device. At the hardware Integration level, we discuss a hardware solution for implementing a trustworthy PUF based authentication. We present a prototype of the PUF based authentication protocol on an FPGA board via network sockets. / Master of Science / Electronic devices have become ubiquitous, from being used in day to day applications to device critical applications (defense, medical). These devices have valuable electronic components integrated on it. Because of its growing importance, they have attracted many counterfeiters. Counterfeiters replace a genuine component with a substandard component. In this thesis, we discuss a method to identify if an electronic device, a Printed Circuit Board in this case, is genuine.
We present a solution to remotely verify authenticity of the board by extracting fingerprints from all the major components on the board. Fingerprints from each major component on the board are extracted using Physical Uncloanable Functions (PUF). These fingerprints are crypographically combined to develop an unique fingerprint for the board.
Our design is addressed in 3 different abstraction levels 1) Hardware level 2) Hardware Integration level 3) Protocol level. In the Hardware level, we discuss an approach to extract fingerprints from flash memory component. In the Hardware Integration level, we discuss a hadware approach for trustworthy PUF based solution . In the Protocol level, we present a prototype of our design on FPGA using network sockets.
Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/78200 |
Date | 14 June 2017 |
Creators | Mandadi, Harsha |
Contributors | Electrical and Computer Engineering, Schaumont, Patrick R., Athanas, Peter M., Nazhandali, Leyla |
Publisher | Virginia Tech |
Source Sets | Virginia Tech Theses and Dissertation |
Detected Language | English |
Type | Thesis |
Format | ETD, application/pdf |
Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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