• DocumentCode
    3301285
  • Title

    The construction and research of lightweight cryptography SOPT-S boxes based on the inverse mapping in galois field

  • Author

    Zhao-long Fan ; Qi-jian Xu ; Yong-jun Xu ; Fei Wang

  • Author_Institution
    Coll. of Commun. Eng., PLAUST, Nanjing, China
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    91
  • Lastpage
    98
  • Abstract
    As the weakness like poor performance in cryptology and single type in the utility of the S boxes in nonlinear layer of the existing lightweight cryptography algorithm such as PRESENT, LED and KLEIN, the safety of algorithm in sensor nodes meet a notable decrease, which brings huge difficulties to information protection of sensor nodes in city security defense and to decryption resisting of military sensor networks. This paper constructs a new lightweight S boxes based on the inverse mapping in Galois field which called Suboptimal-S boxes (SOPT-S boxes) with excellent performance in cryptology. It is shown that the SOPT-S boxes perform better in cryptographic properties such as differential uniformity, algebraic degree and avalanche effect than PRESENT, of which the algebraic degree achieves to n-1; avalanche effect to 1/2 and both of them achieve to the best, besides, it has an equivalent nonlinearity compared with PRESENT, so that it can provide a reference for the designing of nonlinear layer of lightweight cryptography algorithm.
  • Keywords
    Galois fields; cryptography; Galois field; KLEIN; LED; PRESENT; SOPT-S boxes; algebraic degree; avalanche effect; cryptographic properties; cryptology; decryption; differential uniformity; information protection; inverse mapping; lightweight S boxes; lightweight cryptography algorithm; military sensor networks; nonlinear layer; security defense; sensor nodes; suboptimal-S boxes; Algorithm design and analysis; Ciphers; Encryption; Polynomials; Resists; Safety; Block cipher; Lightweight Cryptography; Multiplicative inverse; SOPT-S box;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GrC.2013.6740387
  • Filename
    6740387