Machine learning estimation of signal in laser timing probing for hardware security applications

Laser Timing Probe (LTP, also known as laser voltage probing, LVP) is a failure analysis technique that is widely used in fault isolation and product debugging. Electrical waveforms at a location of the probed site can be predicted when given a change of properties of a reflected beam of light due t...

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Main Author: Leong, Chang Peng
Other Authors: Gan Chee Lip
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/147371
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1473712023-03-04T15:47:09Z Machine learning estimation of signal in laser timing probing for hardware security applications Leong, Chang Peng Gan Chee Lip School of Materials Science and Engineering CLGan@ntu.edu.sg Engineering::Materials Laser Timing Probe (LTP, also known as laser voltage probing, LVP) is a failure analysis technique that is widely used in fault isolation and product debugging. Electrical waveforms at a location of the probed site can be predicted when given a change of properties of a reflected beam of light due to the regular change of biasing of a device that has been brightened by light. The output of the signal to noise ratio is very low. Thus, multiple traces are necessary as it will be averaged to produce a readable waveform. Many applications of LTP have proven its superiority in recovering encrypted or sensitive data. However, the reliance on regular test sequences is imminent. As such, if waveforms from LTP can be predicted with a minimum number of traces, it will be able to reduce the need for counter measures. Machine learning has been around for a while and it has tremendous capabilities especially in the field of pattern recognition. In this project, the primary goal is to use machine learning on MATLAB platform and the knowledge of supervised machine learning to help reduce the number of traces. Bachelor of Engineering (Materials Engineering) 2021-04-01T07:21:40Z 2021-04-01T07:21:40Z 2021 Final Year Project (FYP) Leong, C. P. (2021). Machine learning estimation of signal in laser timing probing for hardware security applications. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147371 https://hdl.handle.net/10356/147371 en MSE/20/032 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Materials
spellingShingle Engineering::Materials
Leong, Chang Peng
Machine learning estimation of signal in laser timing probing for hardware security applications
description Laser Timing Probe (LTP, also known as laser voltage probing, LVP) is a failure analysis technique that is widely used in fault isolation and product debugging. Electrical waveforms at a location of the probed site can be predicted when given a change of properties of a reflected beam of light due to the regular change of biasing of a device that has been brightened by light. The output of the signal to noise ratio is very low. Thus, multiple traces are necessary as it will be averaged to produce a readable waveform. Many applications of LTP have proven its superiority in recovering encrypted or sensitive data. However, the reliance on regular test sequences is imminent. As such, if waveforms from LTP can be predicted with a minimum number of traces, it will be able to reduce the need for counter measures. Machine learning has been around for a while and it has tremendous capabilities especially in the field of pattern recognition. In this project, the primary goal is to use machine learning on MATLAB platform and the knowledge of supervised machine learning to help reduce the number of traces.
author2 Gan Chee Lip
author_facet Gan Chee Lip
Leong, Chang Peng
format Final Year Project
author Leong, Chang Peng
author_sort Leong, Chang Peng
title Machine learning estimation of signal in laser timing probing for hardware security applications
title_short Machine learning estimation of signal in laser timing probing for hardware security applications
title_full Machine learning estimation of signal in laser timing probing for hardware security applications
title_fullStr Machine learning estimation of signal in laser timing probing for hardware security applications
title_full_unstemmed Machine learning estimation of signal in laser timing probing for hardware security applications
title_sort machine learning estimation of signal in laser timing probing for hardware security applications
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/147371
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