• DocumentCode
    3582798
  • Title

    Smartphone sensors as random bit generators

  • Author

    Loutfi, Joseph ; Chehab, Ali ; Elhajj, Imad H. ; Kayssi, Ayman

  • Author_Institution
    Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
  • fYear
    2014
  • Firstpage
    773
  • Lastpage
    780
  • Abstract
    Finding good entropy sources, designing deterministic (pseudo) random number generators, or simply finding suitable non-deterministic random number generators are major challenges. The goal of this paper is to evaluate the use of three motion sensors present in smartphones as potential nondeterministic, true random bit generators (TRNG). This paper focuses in particular on sensors present in Samsung Galaxy S3 and S4 devices. Data from the sensors was collected and submitted to the NIST STS v-2.1.1 test suite and the resulting bits were found fit enough to be used as the output of a TRNG. In addition, 4 SHA versions were used to whiten the data (as per NIST recommendation). Their conditioning performance was compared to each other, and found to be very close.
  • Keywords
    entropy; mobile computing; random number generation; statistical testing; NIST STS v-2.1.1 test suite; Samsung Galaxy S3 devices; Samsung Galaxy S4 devices; TRNG; entropy sources; motion sensors; nondeterministic random number generators; pseudorandom number generators; smartphone sensors; true random bit generators; Accelerometers; Entropy; Generators; Magnetic sensors; NIST; Random sequences; Random Bit Generator; Security; Sensors; Smartphone; Statistical NIST Test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/AICCSA.2014.7073279
  • Filename
    7073279