Image steganalysis has attracted increasing attention recently. LSB steganalysis is one of the most active research topics. The paper proposes a method for LSB steganalysis of images, where the secret message is embedded in a given number L of the least significant bits. The proposed estimation method is an extension of Fridrich's method from the case L = 1 to arbitrary L > 0. A weighted stego image is defined first and then estimation formula is derived. To evaluate the proposed steganalytic method, two experiments of detection and estimation are performed. It is shown that the accuracy of detecting the existence of secret messages in images and of estimating the embedding ratio of secret messages is relatively high. Estimation errors and further studies are also discussed. Experimental results and theoretical verification show that this method is an effective method of LSB steganalysis.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Extended optimization method of LSB steganalysis


    Beteiligte:
    Xiaopi Yu, (Autor:in) / Tieniu Tan, (Autor:in) / Yunhong Wang, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    235516 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Extended Optimization Method of LSB Steganalysis

    Yu, X. / Tan, T. / Wang, Y. | British Library Conference Proceedings | 2005


    A Steganalysis Method Based On Quantization Attack

    Huang, Jifeng / Jiao, Qingju | IEEE | 2008


    Inter-frame Correlation Based Compressed Video Steganalysis

    Liu, Bin / Liu, Fenlin / Wang, Ping | IEEE | 2008


    Principal feature selection and fusion method for image steganalysis

    Qin, J. / Sun, X. / Xiang, X. et al. | British Library Online Contents | 2009


    Resampling detection aided steganalysis of heterogeneous bitmap images

    Hou, X. / Zhang, T. / Xiong, G. et al. | British Library Online Contents | 2013