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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICPCSEE 2017: Data Science pp 549–557Cite as

Side-Channel Attacks Based on Collaborative Learning

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 727))

Abstract

Side-channel attacks based on supervised learning require that the attacker have complete control over the cryptographic device and obtain a large number of labeled power traces. However, in real life, this requirement is usually not met. In this paper, an attack algorithm based on collaborative learning is proposed. The algorithm only needs to use a small number of labeled power traces to cooperate with the unlabeled power trace to realize the attack to cryptographic device. By experimenting with the DPA contest V4 dataset, the results show that the algorithm can improve the accuracy by about 20% compared with the pure supervised learning in the case of using only 10 labeled power traces.

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Acknowledgment

This work has been supported by the Fundamental Research Funds for the Central Universities (No. 328201507).

Author information

Authors and Affiliations

  1. Beijing Electronic Science and Technology Institute, Beijing, China

    Biao Liu, Yang Pan & Huamin Feng

  2. Xidian University, Xi’an, 100070, China

    Zhao Ding, Jiali Li & Huamin Feng

Authors
  1. Biao Liu
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  2. Zhao Ding
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  3. Yang Pan
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  4. Jiali Li
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  5. Huamin Feng
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Corresponding author

Correspondence to Biao Liu .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Central South University, Changsha, China

    Min Li

  3. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. Harbin University of Science and Technology, Harbin, China

    Wei Xie

  6. Harbin Sea of Clouds and Computer Technology, Harbin, China

    Zeguang Lu

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© 2017 Springer Nature Singapore Pte Ltd.

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Liu, B., Ding, Z., Pan, Y., Li, J., Feng, H. (2017). Side-Channel Attacks Based on Collaborative Learning. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_46

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  • DOI: https://doi.org/10.1007/978-981-10-6385-5_46

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6384-8

  • Online ISBN: 978-981-10-6385-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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