• DocumentCode
    528613
  • Title

    A new chaos Advanced Encryption Standard (AES) algorithm for data security

  • Author

    ElBadawy, El-Sayed Abdoul-Moaty ; Mokhtar, Amro ; El-Masry, Waleed A. ; Hafez, Alaa El-Din Sayed

  • Author_Institution
    Electr. Eng. Dept., Alexandria Univ., Alexandria, Egypt
  • fYear
    2010
  • fDate
    7-10 Sept. 2010
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    This paper proposes a new chaos AES algorithm for data security. The algorithm is based on substituting the Rijndael affine transformation S-box by another one based on chaos theory. The new S-box has a low correlation and exhibits a significant performance improvement with an acceptable complexity addition. The algorithm is tested using the commonly used tests for determining whether the binary sequence possesses some specific characteristics that a truly random sequence would be likely to exhibit. These are frequency, runs, serial and poker tests, respectively. These statistical tests are performed with random and uniform distribution plaintext data. The results of the proposed chaos AES were compared with a normal one and gave a significant improvement for the accepted sequences probability over a wide range of chaos initial conditions. The sensitivity of the initial condition gives the algorithm the ability to be used as another key for more security and confidentiality.
  • Keywords
    affine transforms; binary sequences; chaos; cryptography; probability; statistical testing; Rijndael affine transformation S-box; binary sequence possess; chaos advanced encryption standard algorithm; chaos theory; data security; sequences probability; statistical testing; Arrays; Chaos; Encryption; Logistics; Random sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals and Electronic Systems (ICSES), 2010 International Conference on
  • Conference_Location
    Gliwice
  • Print_ISBN
    978-1-4244-5307-8
  • Electronic_ISBN
    978-83-9047-4-2
  • Type

    conf

  • Filename
    5595158