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Implementasi Digital Signature Algorithm (DSA) dengan SHA-512 pada Citra Digital Menggunakan Metode Reversible Image Steganography Berbasis Pixel Value Ordering (PVO)

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Abstrak:
Digital Signature Algorithm (DSA) merupakan algoritme signature standard yang menyediakan layanan non-repudiation. Pada penelitian Tugas Akhir ini, ditunjukkan implementasi DSA dengan SHA-512 pada citra digital dengan memanfaatkan metode reversible image steganography berbasis PVO. Ide dasar dari penelitian ini adalah melakukan signing dengan pesan berupa citra digital yang telah diekstraksi fiturnya, kemudian dilakukan suatu metode steganografi pada hasil nilai signature-nya. Hasil penelitian menunjukkan bahwa DSA dan SHA-512 dapat diimplementasikan pada citra digital baik jenis Grayscale ataupun RGB tanpa batasan ukuran pixel serta menunjukkan nilai signature yang disembunyikan tidak menyebabkan perubahan secara visual terhadap gambar cover. Hasil evaluasi performa dan analisis uji ketahanan metode steganografi PVO pada penelitian ini menunjukkan hasil Detection Rate, MSE, dan PSNR yang cukup baik.
Abstract:
There are several security threats that may occur in the process of distributing data digitally through electronic media. As a security service in data distribution, cryptographic methods are needed, to protect the copyright of digital documents or data, digital signatures are needed, and so that the document's signature value is not sent separately, a steganography method is also needed. Digital Signature Algorithm (DSA) is a standard signature algorithm that provides non-repudiation services. In this Final Project research, it is shown the implementation of DSA with SHA-512 in digital images by utilizing the PVO-based reversible image steganography method. The basic idea of this research is to sign with a message in the form of a digital image whose features have been extracted, then a steganographic method is performed on the resulting signature value. The results show that DSA and SHA-512 can be implemented in digital images, both Grayscale and RGB types, without any pixel size restrictions and show that the hidden signature value does not cause a visual change to the cover image. The results of the performance evaluation and analysis of the robustness test of the PVO steganography method in this study showed quite good results of the Detection Rate, MSE, and PSNR.

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Availability

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Detail Information

Series Title

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Call Number

2023 ARI i

Publisher

Bogor : Politeknik Siber dan Sandi Negara., 2023

Collation

xvi, 120 halaman

Language

Indonesia

ISBN/ISSN

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Classification

Rekayasa Sistem Kriptografi

Content Type

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Media Type

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Carrier Type

-

Edition

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Subject(s)

Digital Signature
Pixel Value Ordering (PVO)
SHA

Specific Detail Info

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Statement of Responsibility

Arildha Rahma Savitri

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