IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v9y2015i13p85.html
   My bibliography  Save this article

A Novel Dynamic Secret key Generation for an Efficient Image Encryption Algorithm

Author

Listed:
  • LAHIEB JAWAD
  • GHAZALI SULONG

Abstract

Today, the security of digital images is considered more and more essential and a strong secret key plays a major role in the image encryption. In this paper, a novel method for generating dynamic non-linear secret keys for a symmetric block cipher using XOR-operation is proposed. The dynamic non-linear secret keys generation is based on a combination of logistic and piecewise chaotic map methods with a new automatic creation of initial seed values. The automatic initial seed values creation depends on the development of a novel strategy for seeds creation based on sunflower spiral points. The experimental results indicate that the proposed key generator algorithm has the advantage of large key space with a safety protection of brute force attack. Therefore, the performance analysis of image encryption reveals a correlation coefficient of about (-0.0001) and entropy greater than (7.9978). Furthermore, the results show high security for encryption based on strong dynamic secret key properties.

Suggested Citation

  • Lahieb Jawad & Ghazali Sulong, 2015. "A Novel Dynamic Secret key Generation for an Efficient Image Encryption Algorithm," Modern Applied Science, Canadian Center of Science and Education, vol. 9(13), pages 1-85, December.
    • Handle: RePEc:ibn:masjnl:v:9:y:2015:i:13:p:85
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/50305/29702
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/50305
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:9:y:2015:i:13:p:85. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.