Leakage-resilient memory-based physical unclonable function using phase change material

Memory-based Physical Unclonable Function (MemPUF) emerged as a replacement for traditional key preservation primitives to overcome the susceptibility of secret keys to physical attacks. Recent experiments demonstrated that even some MemPUFs can be physically attacked by exploiting their side-channe...

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Main Authors: Zhang, Le, Chang, Chip-Hong, Cabrini, Alessandro, Torelli, Guido, Kong, Zhi Hui
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/105042
http://hdl.handle.net/10220/25165
http://dx.doi.org/10.1109/CCST.2014.6987047
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1050422019-12-06T21:44:57Z Leakage-resilient memory-based physical unclonable function using phase change material Zhang, Le Chang, Chip-Hong Cabrini, Alessandro Torelli, Guido Kong, Zhi Hui School of Electrical and Electronic Engineering 2014 International Carnahan Conference on Security Technology (ICCST) DRNTU::Engineering::Electrical and electronic engineering Memory-based Physical Unclonable Function (MemPUF) emerged as a replacement for traditional key preservation primitives to overcome the susceptibility of secret keys to physical attacks. Recent experiments demonstrated that even some MemPUFs can be physically attacked by exploiting their side-channel information. In this paper, we formulate an adversary model for a prediction attack that takes advantage of the side-channel information leaked from a MemPUF. Based on this pivotal insight, we propose countermeasures to enhance the resilience of MemPUFs against such a kind of attack, and introduce a security-enhanced MemPUF design using phase change material. Our analysis demonstrated the effectiveness of our proposed scheme against the measurement-prediction attack given an adversary with certain bounded attack capability. Accepted version 2015-03-03T09:10:13Z 2019-12-06T21:44:57Z 2015-03-03T09:10:13Z 2019-12-06T21:44:57Z 2014 2014 Conference Paper Zhang, L., Chang, C.-H., Cabrini, A., Torelli, G., & Kong, Z. H. (2014). Leakage-resilient memory-based physical unclonable function using phase change material. 2014 International Carnahan Conference on Security Technology (ICCST), 1-6. https://hdl.handle.net/10356/105042 http://hdl.handle.net/10220/25165 http://dx.doi.org/10.1109/CCST.2014.6987047 183022 en © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/CCST.2014.6987047]. 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhang, Le
Chang, Chip-Hong
Cabrini, Alessandro
Torelli, Guido
Kong, Zhi Hui
Leakage-resilient memory-based physical unclonable function using phase change material
description Memory-based Physical Unclonable Function (MemPUF) emerged as a replacement for traditional key preservation primitives to overcome the susceptibility of secret keys to physical attacks. Recent experiments demonstrated that even some MemPUFs can be physically attacked by exploiting their side-channel information. In this paper, we formulate an adversary model for a prediction attack that takes advantage of the side-channel information leaked from a MemPUF. Based on this pivotal insight, we propose countermeasures to enhance the resilience of MemPUFs against such a kind of attack, and introduce a security-enhanced MemPUF design using phase change material. Our analysis demonstrated the effectiveness of our proposed scheme against the measurement-prediction attack given an adversary with certain bounded attack capability.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhang, Le
Chang, Chip-Hong
Cabrini, Alessandro
Torelli, Guido
Kong, Zhi Hui
format Conference or Workshop Item
author Zhang, Le
Chang, Chip-Hong
Cabrini, Alessandro
Torelli, Guido
Kong, Zhi Hui
author_sort Zhang, Le
title Leakage-resilient memory-based physical unclonable function using phase change material
title_short Leakage-resilient memory-based physical unclonable function using phase change material
title_full Leakage-resilient memory-based physical unclonable function using phase change material
title_fullStr Leakage-resilient memory-based physical unclonable function using phase change material
title_full_unstemmed Leakage-resilient memory-based physical unclonable function using phase change material
title_sort leakage-resilient memory-based physical unclonable function using phase change material
publishDate 2015
url https://hdl.handle.net/10356/105042
http://hdl.handle.net/10220/25165
http://dx.doi.org/10.1109/CCST.2014.6987047
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