Steganografi Video Menggunakan Metode Motion-Based Least Significant Frame Dan Block-Based Dissimilar Histogram

Adim, Fauzan (2019) Steganografi Video Menggunakan Metode Motion-Based Least Significant Frame Dan Block-Based Dissimilar Histogram. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Steganografi, salah satu teknik penyembunyian data ke
dalam suatu media digital, memiliki ragam metode dengan tujuan
mendapatkan kapasitas penyimpanan yang besar, robustness yang
tinggi serta tingkat keamanan yang tinggi. Penelitian ini meng-
gunakan video sebagai media penyimpanan data rahasia dengan
metode Motion-based Least Significant Frame dan Block-based
Dissimilar Histogram.
Video yang telah dibagi menjadi sejumlah frame dipilih
Least Sifnificant Frame-nya, yaitu frame dengan Optical Flow
diatas rata-rata Optical Flow seluruh frame. LSF yang kemudian
dibagi menjadi sejumlah blok. Blok dengan Histogram Difference
diatas rata-rata Histogram Diffirence seluruh blok dipilih untuk
disisipkan menggunakan algoritme penyisipan RGB Weighted
Coding.
Hasil uji coba menunjukkan bahwa kombinasi metode LSF
dan BBDH menghasilkan Stego-Video dengan PSNR yang cukup
baik (36 dB s.d. 53 dB).
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Steganography is a data hiding technique which cover hid-den information inside a carrier such as text, images, audio or video. In this research, we use video as the carrier, text message file as the secret message, Motion-based Least Significant Frame for frames selction and Block-based Dissimilar Histogram method for blocks selection and also RGB Weighted Coding algorithm as embedded algorithm.
Least significant frames are insignificant frames in a video. LSFs in this case can be altered and do not change the overall quality of all frames. In this research, optical flow is used to help determining the frames which is the least significant. Those LSFs will be divided into blocks. Block-based dissimilar histogram will use those blocks to determine appropriate blocks.
Upon all of the appropriate blocks is found, they will be embedded with ASCII code which previously obtained by con-vertion. The embedding algorithm used in this research is RGB weighted coding which use the last digit of each color channelin each pixels of the appropriate blocks.
We obtain 36 dB - 53 dB PSNR values which is quite good.

Item Type: Thesis (Undergraduate)
Additional Information: RSIf 005.82 Adi s-1 2019
Uncontrolled Keywords: Steganography; Optical Flow; Color Histogram
Subjects: Q Science > QA Mathematics > QA76.9.A25 Computer security. Digital forensic. Data encryption (Computer science)
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User: Fauzan Adim
Date Deposited: 06 Apr 2022 07:19
Last Modified: 06 Apr 2022 07:19
URI: http://repository.its.ac.id/id/eprint/62278

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