• DocumentCode
    1761573
  • Title

    Enhanced side-channel leakage detection method by considering combinational logic

  • Author

    Liu Junrong ; Guo Zheng ; Gu Dawu ; Yu Yu ; Lu Haining ; Gu Haihua ; Bao Sigang

  • Author_Institution
    Sch. of Electron. Inf. & Electr. Eng., Shanghai JiaoTong Univ., Shanghai, China
  • Volume
    12
  • Issue
    6
  • fYear
    2015
  • fDate
    42156
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    In this paper, we propose a hybrid power model that includes the power consumption of not only the registers but also part of the combinational logic. By doing known-key analysis with this hybrid model, power side-channel leakage caused by correct keys can be detected. In experiment, PRINTcipher and DES algorithms were chosen as analysis targets and combinational logic s-box unit was selected to build power template. The analysis results showed the signal-to-noise ratio (SNR) power consumption increase of more than 20% after considering s-box´s power consumption so that the information of keys can be obtained with just half number of power traces. In addition, the side channel-leakage detection capability of our method also shows better effectiveness that can identify the correct keys.
  • Keywords
    combinational circuits; cryptography; energy consumption; power aware computing; DES algorithms; PRINTcipher; SNR power consumption; combinational logic s-box unit; correct keys; enhanced side-channel leakage detection method; hybrid power model; known-key analysis; power side-channel leakage; power template; registers; signal-to-noise ratio power consumption; Algorithm design and analysis; Analytical models; Hybrid power systems; Integrated circuit modeling; Power demand; Registers; Semiconductor device modeling; power analysis; leakage detection;combinational logic; known-key analysis;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2015.7122468
  • Filename
    7122468