• DocumentCode
    742269
  • Title

    Time-Delayed Converter-Reshuffling: An Efficient and Secure Power Delivery Architecture

  • Author

    Weize Yu ; Kose, Selcuk

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA
  • Volume
    7
  • Issue
    3
  • fYear
    2015
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    In this letter, a time-delayed converter-reshuffling (CoRe) technique is proposed as a countermeasure against machine learning based differential power analysis (DPA) attacks where the attacker can synchronize the sampling frequency with the operating frequency of the device under attack. The proposed time-delayed CoRe technique exploits the distributed nature of multiphase switched capacitor voltage converters where half of the converter stages are delayed to eliminate the risk of having zero power trace entropy (PTE) under machine learning based DPA attacks. A high PTE value is maintained (above 3.2 for a 64-phase time-delayed CoRe technique) regardless of the phase difference between the attacker´s sampling rate and the operating frequency. In addition, the minimum PTE value of the proposed time-delayed CoRe technique is enhanced from zero to ~ 3 by inserting a certain time-delay to half of the converter stages.
  • Keywords
    capacitors; learning (artificial intelligence); power engineering computing; switching convertors; synchronisation; CoRe technique; PTE; machine learning based DPA attacks; machine learning based differential power analysis attacks; multiphase switched capacitor voltage converters; operating frequency; power delivery architecture; power trace entropy; sampling frequency synchronization; time-delayed converter-reshuffling technique; Delay effects; Entropy; Monitoring; Regulators; Switches; Switching frequency; Synchronization; Machine learning-based DPA attacks; multiphase switched capacitor; power trace entropy; time-delayed;
  • fLanguage
    English
  • Journal_Title
    Embedded Systems Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1943-0663
  • Type

    jour

  • DOI
    10.1109/LES.2015.2433175
  • Filename
    7106483