• DocumentCode
    3585895
  • Title

    Can leakage models be more efficient? non-linear models in side channel attacks

  • Author

    Qizhi Tian ; O´Neill, Maire ; Hanley, Neil

  • Author_Institution
    Center for Secure Inf. Technol., Queen´s Univ., Belfast, UK
  • fYear
    2014
  • Firstpage
    215
  • Lastpage
    220
  • Abstract
    In the last decade, many side channel attacks have been published in academic literature detailing how to efficiently extract secret keys by mounting various attacks, such as differential or correlation power analysis, on cryptosystems. Among the most efficient and widely utilized leakage models involved in these attacks are the Hamming weight and distance models which give a simple, yet effective, approximation of the power consumption for many real-world systems. These leakage models reflect the number of bits switching, which is assumed proportional to the power consumption. However, the actual power consumption changing in the circuits is unlikely to be directly of that form. We, therefore, propose a non-linear leakage model by mapping the existing leakage model via a transform function, by which the changing power consumption is depicted more precisely, hence the attack efficiency can be improved considerably. This has the advantage of utilising a non-linear power model while retaining the simplicity of the Hamming weight or distance models. A modified attack architecture is then suggested to yield the correct key efficiently in practice. Finally, an empirical comparison of the attack results is presented.
  • Keywords
    power consumption; private key cryptography; Hamming weight; correlation power analysis; cryptosystems; differential power analysis; distance models; modified attack architecture; nonlinear leakage model; power consumption; secret keys; side channel attacks; transform function; Analytical models; Correlation; Cryptography; Hamming weight; High definition video; Integrated circuit modeling; Power demand; CPA; Non-linear Leakage Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Forensics and Security (WIFS), 2014 IEEE International Workshop on
  • Type

    conf

  • DOI
    10.1109/WIFS.2014.7084330
  • Filename
    7084330