Oblivious NFA evaluation with an untrusted third party
Oblivious substring matching is a well-studied problem, with plentiful applications in scenarios with privacy-preservation requirements, e.g., genome matching, malicious code detection, etc. A natural generalization of oblivious substring matching is oblivious finite automata evaluation, which matc...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1628902022-11-11T08:13:44Z Oblivious NFA evaluation with an untrusted third party Zhou, Haoran Tay Kian Boon School of Computer Science and Engineering kianboon.tay@ntu.edu.sg Engineering::Computer science and engineering::Data::Data encryption Oblivious substring matching is a well-studied problem, with plentiful applications in scenarios with privacy-preservation requirements, e.g., genome matching, malicious code detection, etc. A natural generalization of oblivious substring matching is oblivious finite automata evaluation, which matches a wider collection of patterns than substrings. In this paper, we propose an efficient protocol for the oblivious evaluation of Non-deterministic finite Automata (NFA) with the help of an untrusted third party and extend the protocol to Non-deterministic Finite state transducers. We prove the security of the protocol against one corrupted party. We further experiment with such protocol on a pattern-matching task with its complexity. Bachelor of Engineering (Computer Engineering) 2022-11-11T08:13:44Z 2022-11-11T08:13:44Z 2022 Final Year Project (FYP) Zhou, H. (2022). Oblivious NFA evaluation with an untrusted third party. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162890 https://hdl.handle.net/10356/162890 en SCSE21-0810 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Data::Data encryption Zhou, Haoran Oblivious NFA evaluation with an untrusted third party |
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Oblivious substring matching is a well-studied problem, with plentiful applications in scenarios with privacy-preservation requirements, e.g., genome matching, malicious code detection, etc. A natural generalization of oblivious substring matching is oblivious finite automata evaluation, which matches a wider collection of patterns than substrings. In this paper, we propose an efficient protocol for the oblivious evaluation of Non-deterministic finite Automata (NFA) with the help of an untrusted third party and extend the protocol to Non-deterministic Finite state transducers. We prove the security of the protocol against one corrupted party. We further experiment with such protocol on a pattern-matching task with its complexity. |
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Tay Kian Boon |
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Tay Kian Boon Zhou, Haoran |
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Final Year Project |
author |
Zhou, Haoran |
author_sort |
Zhou, Haoran |
title |
Oblivious NFA evaluation with an untrusted third party |
title_short |
Oblivious NFA evaluation with an untrusted third party |
title_full |
Oblivious NFA evaluation with an untrusted third party |
title_fullStr |
Oblivious NFA evaluation with an untrusted third party |
title_full_unstemmed |
Oblivious NFA evaluation with an untrusted third party |
title_sort |
oblivious nfa evaluation with an untrusted third party |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/162890 |
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1751548505281789952 |