Peningkatan Kualitas Citra Stego pada Adaptive Pixel Block Grouping Reduction Error Expansion dengan Variasi Model Scanning pada Pembentukan Kelompok Piksel

Penulis

Hendro Eko Prabowo, Tohari Ahmad

Abstrak

ebutuhan komunikasi yang terus bertambah dan ditandai dengan meningkatnya jumlah IP traffic dari 744 EB menjadi 1.164 EB menjadikan keamanan sebagai salah satu kebutuhan utama dalam menjaga kerahasiaan data. Adaptive Pixel Block Grouping Reduction Error Expansion (APBG-REE) sebagai salah satu metode data hiding dapat diterapkan untuk memenuhi kebutuhan tersebut. Metode ini akan membagi citra carrier menjadi blok-blok dan membentuknya menjadi kelompok-kelompok piksel. Hasil dari proses ini akan dimanfaatkan untuk menyembunyikan data rahasia. Namun, metode ini memiliki kekurangan, yaitu belum diketahuinya metode scanning terbaik dalam pembentukan kelompok piksel untuk menciptakan citra stego dengan kualitas tinggi. Untuk mengatasi masalah ini, kami mengusulkan 4 mode (cara) scanning berdasarkan arah scanning tersebut. Mode scanning tersebut memberikan hasil yang berbeda-beda untuk masing-masing citra stego yang diujikan. Namun berdasarkan hasil uji coba, setiap mode scanning mampu menjaga kualitas citra stego diatas 57,5 dB. Hasil ini akan meningkat seiring dengan berkurangnya jumlah shifted pixel yang terbentuk.

 

Abstract

The need of communication has increased continously which is represented by the rise of number of IP traffic, from 744 EB to 1.164 EB. This has made data security one of the main requirements in terms of securing secret data. Adaptive Pixel Block Grouping Reduction Error Expansion (APBG-REE) as one of data hiding methods can be implemented to meet that requirement. It divides the carrier image into blocks which are then used as pixel groups. The result of this process is to be a space for secret data. However, this method has a problem in the scanning when creating pixel groups to generate a high quality stego image. To handle this problem, we propose four scanning models base on its direction. This means that the scanning can be done row-by-row or column-by-column. Base on the experiment, we find that those modes deliver various results and each of them is able to maintain the stego quality of more than 57,5 dB. This result increases along with the decreasing the number of shifted pixels.

Kata Kunci


Penyembunyian data; Keamanan data; Keamanan informasi; Pengelompokan nilai piksel

Teks Lengkap:

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Referensi


Al-HOOTI, M., DJANALI, S. & AHMAD, T., 2016. Audio Data Hiding Based on Sample Value Modification Using Modulus Function. Journal of Information Processing Systems, 12(3), pp. 525-537.

ANDRA, M. B., AHMAD, T. & USAGAWA, T., 2017. Medical Record protection with improved GRDE data hiding method on audio files. Engineering Letters, 25(2), pp. 112-124.

ARYA, M. S., RANI, M. & BEDI, C. S., 2016. Improved Capacity Image Steganography Algorithm using 16-Pixel Differencing with n-bit LSB Substitution for RGB Images. International Journal of Electrical and Computer Engineering, 6(6), pp. 2735-2741.

CHEN, N., SU, C., SHIH, C. & CHEN, Y., 2016. Reversible Watermarking for Medical Image using Histogram Shifting with Location Map Reduction. Taipei, s.n., pp. 792-797.

CISCO, 2016. Cisco Global Cloud Index: Forecast and Methodology, 2015-2020, s.l.: Cisco Public.

GUI, X., LI, X. & YANG, B., 2012. A Novel Integer Transform for Efficient Reversible Watermarking. Tsukuba, s.n., p. 947–950.

HOLIL, M. & AHMAD, T., 2014. Peningkatan Performa Metode Steganografi Berbasis Difference Expansion Menggunakan Reduksi Selisih. Jurnal Ilmiah Teknologi Informasi, 12(2), pp. 9-17.

HOLIL, M. & AHMAD, T., 2015. Secret Data Hiding by Optimizing General Smoothness Difference Expansion-Based Method. Journal of Theoretical and Applied Information Technology, 72(2), pp. 155-163.

IOAN-CATALIN, D. & COLTUC, D., 2014. Local-Prediction-Based Difference Expansion Reversible Watermarking. IEEE Transaction on Image Processing, 23(4), pp. 1779-1790.

KURNIAWAN, Y. & AHMAD, T., 2016. Pengembangan Metode Pengaman Berkas Memanfaatkan Pewarnaan Graf. Jurnal Ilmiah Teknologi Informasi, 14(2), pp. 190-197.

LIU, M. et al., 2012. Reducing Location Map in Prediction-based Difference Expansion for Reversible Image Data Embedding. Signal Processing, 92(3), pp. 819-828.

LI, X., LI, J., LI, B. & YANG, B., 2013. High-Fidelity Reversible Data Hiding Scheme Based on Pixel-Value-Ordering and Prediction-Error-Expansion. Signal Processing, 93(1), pp. 198-205.

MARWAN, S., SHAWISH, A. & NAGATY, K., 2016. DNA-based Cryptographic Methods for Data Hiding in DNA Media. Biosystems, Volume 150, pp. 110-118.

NI, Z., SHI, Y.-Q., ANSARI, N. & Su, W., 2006. Reversible Data Hiding. IEEE Transaction on Circuits and Systems for Video Technology, 16(3), pp. 354-362.

OU, B., LI, X. & WANG, J., 2016. High-Fidelity Reversible Data Hiding Based on Pixel-Value-Ordering and Pairwise Prediction-Error Expansion. Journal of Visual Communicatin and Image Representation, Volume 39, pp. 12-23.

OU, B. et al., 2013. Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding. IEEE Transactions on Image Processing, 22(12), pp. 5010-5021.

PENG, F., LI, X. & YANG, B., 2012. Adaptiave Reversible Data HIding Scheme Based on Integer Transform. Signal Processing, 92(1), pp. 54-62.

PENG, F., LI, X. & YANG, B., 2014. Improved PVO-based Reversible Data Hiding. Digital Signal Processing, Volume 25, pp. 255-256.

PRABOWO, H. E., 2018. Peningkatan Kinerja Prediction Error Expansion dalam Data Hiding dengan Mereduksi Error Expansion dan Mengelompokkan Nilai Piksel Secara Adaptif, Surabaya: Institut Teknologi Sepuluh Nopember.

PRABOWO, H. E. & AHMAD, T., 2018. Adaptive Pixel Value Grouping for Protecting Secret Data in Public Computer Networks. Journal of Communications, 13(6).

System Partners Healthcare Inc., 2002. Partners Infectious Disaese Images eMicrobes Digital Library. [Online]

Available at: http://www.idimages.org/

[Diakses 1 November 2017].

TIAN, J., 2003. Reversible Data Embedding Using A Difference Expansion. IEEE Transactions on Circuits and Systems for Video Technology, 13(8), pp. 890-896.

USC-SIPI, 1977. The USC-SIPI Image Database. [Online]

Available at: http://sipi.usc.edu/database

[Diakses 26 April 2017].

WENG, S., PAN, J.-S. & LI, L., 2016. Reversible data hiding based on an adaptive pixel-embedding strategy and two-layer embedding. Information Sciences, Volume 369, pp. 144-159.

WU, M., 2002. Part-I Fundamental Issues and Solutions. IEEE Transaction on Image Processing, Volume 12, pp. 685-695.




DOI: http://dx.doi.org/10.25126/jtiik.201852633