CryptoDB
Nele Mentens
NOTE: imports for ToSC and TCHES are no longer functioning.
Publications
Year
Venue
Title
2019
TCHES
Security on Plastics: Fake or Real?
📺
Abstract
Electronic devices on plastic foil, also referred to as flexible electronics, are making their way into mainstream applications. In the near future, flexible electronic labels can be embedded in smart blisters, but also used as mainstream technology for flexible medical patches. A key technology for flexible electronics is based on thin-film transistors, which have the potential to be manufactured at low cost, making them an ideal candidate for these applications. Yet, up to now, no-one is taking digital security into account in the design of flexible electronics.In this paper, we present, to our knowledge, the first cryptographic core on plastic foil. Two main research challenges arise. The first challenge is related to the reliability of the circuit, which typically decreases when the circuit area increases. By integrating cryptographic modules, we explore the limits of the technology, since the smallest lightweight block ciphers feature a larger area than the largest digital circuit on flex foil reported up to now. The second challenge is related to key hiding. The relatively large features on the chip and the fact that electronic chips on plastics are used as bare dies, i.e. they are not packaged, make it easy to read out the value of the stored secret key. Because there is no dedicated non-volatile memory technology yet, existing methods for writing data to the flexible chip after fabrication are based on wire cutting with a laser or inkjet printing. With these techniques, however, it is extremely easy to “see” the value of the secret key under a microscope. We propose a novel solution that allows us to invisibly program the key after fabrication.
2018
TCHES
ES-TRNG: A High-throughput, Low-area True Random Number Generator based on Edge Sampling
Abstract
In this paper we present a novel true random number generator based on high-precision edge sampling. We use two novel techniques to increase the throughput and reduce the area of the proposed randomness source: variable-precision phase encoding and repetitive sampling. The first technique consists of encoding the oscillator phase with high precision in the regions around the signal edges and with low precision everywhere else. This technique results in a compact implementation at the expense of reduced entropy in some samples. The second technique consists of repeating the sampling at high frequency until the phase region encoded with high precision is captured. This technique ensures that only the high-entropy bits are sent to the output. The combination of the two proposed techniques results in a secure TRNG, which suits both ASIC and FPGA implementations. The core part of the proposed generator is implemented with 10 look-up tables (LUTs) and 5 flip-flops (FFs) of a Xilinx Spartan-6 FPGA, and achieves a throughput of 1.15 Mbps with 0.997 bits of Shannon entropy. On Intel Cyclone V FPGAs, this implementation uses 10 LUTs and 6 FFs, and achieves a throughput of 1.07 Mbps. This TRNG design is supported by a stochastic model and a formal security evaluation.
Program Committees
- Eurocrypt 2023
- CHES 2022
- CHES 2021
- Asiacrypt 2021
- CHES 2019
Coauthors
- Donald Donglong Chen (1)
- Wim Dehaene (1)
- Jan Genoe (1)
- Benedikt Gierlichs (1)
- Milos Grujic (1)
- Nele Mentens (4)
- Kris Myny (1)
- Sujoy Sinha Roy (1)
- Vladimir Rozic (1)
- Dirk Smets (1)
- Thomas Vandenabeele (1)
- Ingrid Verbauwhede (3)
- Frederik Vercauteren (1)
- Lynn Verschueren (1)
- Bohan Yang (1)