• DocumentCode
    1703442
  • Title

    ICmetrics for Low Resource Embedded Systems

  • Author

    Kovalchuk, Yevgeniya ; Huosheng Hu ; Dongbing Gu ; McDonald-Maier, K. ; Howells, Gareth

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2012
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    The ICmetrics technology is based on extracting features from digital devices´ operation that may be integrated together to generate unique identifiers for each of the devices or create unique profiles that describe the devices´ actual behaviour. Any changes in these identifiers (profiles) during consequent devices´ operation would signal about a possible safety or security breach within the electronic system. This paper explores the program counter (PC) of a processor core as a potential source for ICmetrics features and discusses several methods of feature values acquisition with the aim to achieve a maximum level of information gain with a minimal impact on a system´s performance. The main finding of this study is that while isolated PC values may not always allow to generate a stable identifier (profile) for a device that would distinguish the device from the rest in the considered set, the PC sequences and frequencies in the execution flow may serve as suitable ICmetrics features, which has yet to be tested in complex scenarios.
  • Keywords
    cryptography; integrated circuits; multiprocessing systems; ICmetrics technology; PC sequences; digital devices; electronic system; execution flow; feature values acquisition; low resource embedded systems; processor core; program counter; stable identifier; Educational institutions; Embedded systems; Feature extraction; Image color analysis; Sampling methods; Security; ICmetrics; autonomous systems; embedded systems; encryption; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Security Technologies (EST), 2012 Third International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4673-2448-9
  • Type

    conf

  • DOI
    10.1109/EST.2012.23
  • Filename
    6328095