KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Vol 4, No 1 (2020): The Liberty of Thinking and Innovation

Implementasi Algoritma Fungsi Hash Grostl Untuk Mendeteksi Orisinalitas Citra Digital

Wahyu Satria Putra Zega (Universitas Budi Darma, Medan)
Herry Sunandar (Universitas Budi Darma, Medan)
Suginam Suginam (Universitas Budi Darma, Medan)



Article Info

Publish Date
21 Nov 2020

Abstract

Image modification is the process of manipulating part or all of the image area with the help of digital image processing techniques. Image fakes are generally difficult to analyze with the naked eye because the resulting image from the image modification process is difficult to distinguish with the naked eye. The ease of creating and changing an image can damage the credibility of the authenticity of the image in various aspects, thus making it prone to be used for criminal acts because image changes in digital images can change the information conveyed to be different. This is the basis of this research to detect the authenticity of an image. The Grostl method is a hash function to detect changes in digital images, the Grostl hash function is used to determine whether an image has been modified or not. The application of the Grostl method to generate a hash code from a digital image begins by inputting the digital image as the object to be hashed.Keywords: Image Originality, Hash, Grostl

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Journal Info

Abbrev

komik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

Jurnal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) adalah wadah publikasi bagi peneliti dalam bidang kecerdasan buatan, kriptografi, pengolahan citra, data mining, system pendukung keputusan, mobile computing, system operasi, multimedia, system pakar, GIS, jaringan ...