Virginia Lampropoulou

Dr. Virginia Lampropoulou

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Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 September 2026 in Cryptography
Verified
Journal Article
Open access
PDF file
VLVirginia Lampropoulou
Virginia Lampropoulou
AEAchilleas Economopoulos
Achilleas Economopoulos
Michail Alexandros KourtisMichail Alexandros Kourtis
Michail Alexandros Kourtis
GXGeorge Xilouris
George Xilouris
Marcin NiemiecMarcin Niemiec
Marcin Niemiec
FOFilip Opiłka
Filip Opiłka
This work presents a complete power side-channel evaluation of the MAYO secret linear map on a constrained embedded target, together with a first-order countermeasure evaluated on the same hardware. While MAYO ranks among the most embedded-friendly candidates in the National Institute of Standards and Technology (NIST) additional-signatures call, few countermeasures for it are quantified against an explicit leakage threshold. The unprotected map O·xi over GF(16) is evaluated against a masked and row-shuffled variant under an identical acquisition procedure. Test Vector Leakage Assessment (TVLA) of the unprotected map peaks at |t|=52.88 fixed-versus-random and at |t|=195.7 under a secret-dependent fixed-versus-fixed test, while a non-profiled Correlation Power Analysis (CPA) resolving the multiplicative-identity alias and temporal row-mixing collapses the first key row from 168 to 24 candidates, with a median of 287 measured across 20 independent random keys. The proposed countermeasure pairs masking with per-pass row shuffling, in order to suppress the micro-architectural residue masking alone leaves; it realizes a leakage reduction approaching 54×, to |t|=3.62 with no failing point out of 24,000, at roughly 2.22× cycles. The evaluation is a laboratory assessment of the isolated map on an STM32F303 (ARM Cortex-M4) measured with a ChipWhisperer-Lite, and does not exercise complete MAYO signing.

17 August 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
VLVirginia Lampropoulou
Virginia Lampropoulou
AEAchilleas Economopoulos
Achilleas Economopoulos
Michail Alexandros KourtisMichail Alexandros Kourtis
Michail Alexandros Kourtis
GXGeorge Xilouris
George Xilouris
Marcin NiemiecMarcin Niemiec
Marcin Niemiec
FOFilip Opiłka
Filip Opiłka
This work presents a complete power side-channel evaluation of the MAYO secret linear map on a constrained embedded target, together with a first-order countermeasure evaluated on the same hardware. While MAYO ranks among the most embedded-friendly candidates in the National Institute of Standards and Technology (NIST) additional signatures call, its defensive counterpart remains underdeveloped, as few countermeasures are quantified against an explicit leakage threshold. A two-fold study is realized, where the unprotected map O·xi over GF(16) is evaluated against a masked and row-shuffled variant under an identical acquisition procedure. Test Vector Leakage Assessment (TVLA) of the unprotected map peaks at |t|=53.7 fixed-versus-random and at |t|=195.7 under a secret-dependent fixed-versus-fixed test, while a non-profiled Correlation Power Analysis (CPA) resolving the multiplicative-identity alias and temporal row-mixing recovers 5 of 8 first-row nibbles, thus collapsing the row search space from 168 to 24 candidates. The proposed countermeasure combines masking with per-pass row shuffling, in order to suppress the micro-architectural residue that masking alone leaves. The proposed countermeasure realizes a leakage reduction approaching 54×, to |t|=3.62 with no failing point out of 24,000, at roughly 2.22× cycles. The experimental evaluations were performed in a real-world deployment on an STM32F303 (ARM Cortex-M4) measured with a ChipWhisperer-Lite.

26 October 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
VLVirginia Lampropoulou
Virginia Lampropoulou
DKDaniel Karcz
Daniel Karcz
AEAchilleas Economopoulos
Achilleas Economopoulos
Michail Alexandros KourtisMichail Alexandros Kourtis
Michail Alexandros Kourtis
GXGeorge Xilouris
George Xilouris
Marcin NiemiecMarcin Niemiec
Marcin Niemiec
Post-quantum migration moves the security of digital signatures onto their embedded implementations. This work presents a profiled deep-learning side-channel analysis of the secret linear map of MAYO, a multivariate Unbalanced Oil and Vinegar signature in the third round of the NIST additional-signatures process, and a hardware-validated first-order masking countermeasure. A reduced target isolating the secret product Ox on an STM32F303 (Cortex-M4) is assessed under a single budget of 50,000 profiling and 10,000 attack traces. Attacker effort is reported as the exact key rank of one oil vector over the 2312 key space; the usual product-of-ranks proxy understates it by 37 to 80 bits. The best oil vector of a genuine MAYO-1 key is recovered to an exact rank near 261, with 58 of 78 nibbles exact, and the residual uncertainty collapses into a two-dimensional GF(2) coset that a per-bit leakage map explains. Over its whole operation, the proposed masked build keeps profiled and bivariate second-order attacks at random guessing. Leakage assessment nonetheless localises Hamming-weight leaks of eleven nibbles to a memory-bus adjacency and to unmasked key handling, both confirmed with firmware variants. A corrected build shows no detectable first-order leakage of any key nibble, at 2.14× cycles and 1.32× memory.