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Paper: Towards Low Energy Stream Ciphers

Authors:
Subhadeep Banik , LASEC, École Polytechnique Fédérale de Lausanne
Vasily Mikhalev , University of Mannheim
Frederik Armknecht , University of Mannheim
Takanori Isobe , University of Hyogo
Willi Meier , FHNW
Andrey Bogdanov , DTU Compute, Technical University of Denmark, Lyngby
Yuhei Watanabe , National Institute of Advanced Industrial Science and Technology, Osaka
Francesco Regazzoni , University of Lugano
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DOI: 10.13154/tosc.v2018.i2.1-19
URL: https://tosc.iacr.org/index.php/ToSC/article/view/886
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Abstract: Energy optimization is an important design aspect of lightweight cryptography. Since low energy ciphers drain less battery, they are invaluable components of devices that operate on a tight energy budget such as handheld devices or RFID tags. At Asiacrypt 2015, Banik et al. presented the block cipher family Midori which was designed to optimize the energy consumed per encryption and which reduces the energy consumption by more than 30% compared to previous block ciphers. However, if one has to encrypt/decrypt longer streams of data, i.e. for bulk data encryption/decryption, it is expected that a stream cipher should perform even better than block ciphers in terms of energy required to encrypt. In this paper, we address the question of designing low energy stream ciphers. To this end, we analyze for common stream cipher design components their impact on the energy consumption. Based on this, we give arguments why indeed stream ciphers allow for encrypting long data streams with less energy than block ciphers and validate our findings by implementations. Afterwards, we use the analysis results to identify energy minimizing design principles for stream ciphers.
BibTeX
@article{tosc-2018-29227,
  title={Towards Low Energy Stream Ciphers},
  journal={IACR Transactions on Symmetric Cryptology},
  publisher={Ruhr-Universität Bochum},
  volume={2018, Issue 2},
  pages={1-19},
  url={https://tosc.iacr.org/index.php/ToSC/article/view/886},
  doi={10.13154/tosc.v2018.i2.1-19},
  author={Subhadeep Banik and Vasily Mikhalev and Frederik Armknecht and Takanori Isobe and Willi Meier and Andrey Bogdanov and Yuhei Watanabe and Francesco Regazzoni},
  year=2018
}