Security Group
Grizzly: power-analysis traces for an 8-bit load instruction
The Grizzly dataset contains recordings of the power-supply current of the 8-bit CPU Atmel XMEGA 256 A3U, an easily available microcontroller without side-channel countermeasures. It was prepared by Omar Choudary in August 2013 and forms the basis for the comparison of different template attacks described in these papers:
- Marios O. Choudary and Markus G. Kuhn, Efficient, Portable Template Attacks. IEEE Transactions on Information Forensics and Security, 13(2), 2018, pp.490--501. DOI: 10.1109/TIFS.2017.2757440.
- Omar Choudary and Markus G. Kuhn, Template Attacks on Different Devices. COSADE 2014, Paris, 2014. Springer LNCS 8622, pp. 179--198. DOI: 10.1007/978-3-319-10175-0_13.
- Omar Choudary and Markus G. Kuhn, Efficient template attacks. CARDIS 2013, Berlin, 27--29 November 2013. Springer, LNCS 8419, pp. 253--270, 2014. DOI: 10.1007/978-3-319-08302-5_17.
The MATLAB scripts for reproducing some of the results in our papers are available on github.
Please consult the file readme.txt file for more details on the scripts and the datasets.
Data from different devices
Recordings from all four target AVR XMEGA 256 devices are available below.
| Device | File |
|---|---|
| Alpha | e2_bat_fb_alpha_raw_s_0_3071.raw.gz |
| Beta | e2_bat_fb_beta_raw_s_0_3071.raw.gz |
| Beta Bis (a second aquisition campaign on device Beta) | e2_bat_fb_bis_beta_raw_s_0_3071.raw.gz |
| Gamma | e2_bat_fb_gamma_raw_s_0_3071.raw.gz |
| Delta | e2_bat_fb_delta_raw_s_0_3071.raw.gz |
You need to uncompress these gzip files, e.g. with gunzip.
Panda dataset
In order to test stochastic-based template attacks with 16-bit data, we have used the following dataset, acquired from the Beta device:
Note: it has about 10GB, compressed. Please see the readme file associated with the code and the paper below for more details about this dataset.
The code also contains scripts to use stochastic-based template attacks both with the Grizzly and Panda datasets. These should allow you to reproduce some of our results from this paper:
- Marios O. Choudary and Markus G. Kuhn, Efficient stochastic methods: profiled attacks beyond 8 bits. CARDIS 2014, Paris, 2014. Springer LNCS 8968, pp. 85--103. DOI: 10.1007/978-3-319-16763-3_6.
If you find our code or data useful please cite the relevant papers in your work.