• Publications
  • Influence
A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication
TLDR
We present a lightweight PUF-based authentication approach that is practical in settings where a server authenticates a device, and for use cases where the number of authentications is limited over a device's lifetime. Expand
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Efficient Fuzzy Extraction of PUF-Induced Secrets: Theory and Applications
TLDR
We derive new considerably tighter bounds for PUF-induced distributions that suffer from, e.g., bias or spatial correlations. Expand
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Cherry-Picking Reliable PUF Bits With Differential Sequence Coding
  • M. Hiller, M. Yu, G. Sigl
  • Computer Science
  • IEEE Transactions on Information Forensics and…
  • 1 September 2016
TLDR
We present differential sequence coding that scales efficiently across larger block sizes without having the super-linear increase in decoding complexity of prior approaches without increasing the implementation size of the key generation module noticeably. Expand
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Hiding Secrecy Leakage in Leaky Helper Data
TLDR
We introduce wiretap coset coding to PUFs to mitigate the secrecy leakage through the helper data. Expand
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On Error Correction for Physical Unclonable Functions
TLDR
We evaluate manufacturing variations to generate secure cryptographic keys for embedded systems without secure key storage. Expand
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Breaking through fixed PUF block limitations with differential sequence coding and convolutional codes
TLDR
We present a new syndrome coding scheme, called Differential Sequence Coding (DSC), for the first error correction stage and a convolutional code with Viterbi decoder as second stage error correction for PUFs. Expand
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Increasing the efficiency of syndrome coding for PUFs with helper data compression
  • M. Hiller, G. Sigl
  • Computer Science
  • Design, Automation & Test in Europe Conference…
  • 24 March 2014
TLDR
Helper data compression is a new concept to increase the efficiency of popular syndrome coding schemes. Expand
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Seesaw: An Area-Optimized FPGA Viterbi Decoder for PUFs
TLDR
We present a highly optimized Viterbi decoder, adapted to the constraints of PUFs on FPGAs. Expand
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A systematic study of lightweight hash functions on FPGAs
TLDR
We present FPGA implementations of the popular lightweight hash functions KECCAK, PHOTON and SPONGENT, and gives a systematic analysis of size and throughput. Expand
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Complementary IBS: Application specific error correction for PUFs
TLDR
We present Complementary Index-Based Syndrome coding (C-IBS), a new and flexible fuzzy embedder for Physical Unclonable Functions (PUFs). Expand
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