TY  - JOUR
AU  - Arifin, Samsul 
AU  - Wihikanwijna, 
AU  - Mauritsus, Tuga 
AU  - Suwarno, 
AU  - Kurniadi, Felix Indra 
AU  - Ibrahim, Muhammad Amien 
AU  - Muktyas, Indra Bayu 
AU  - Murnaka, Nerru Pranuta 
PY  - 2023
TI  - New Algorithm for Digital Video Encryption
JF  - Journal of Computer Science
VL  - 19
IS  - 7
DO  - 10.3844/jcssp.2023.847.860
UR  - https://thescipub.com/abstract/jcssp.2023.847.860
AB  - This research aims to propose a safe digital video data alternative employing symmetric cryptography and an encryption technique using Partition. The Hill Cipher method requires a square key matrix with an inverse modulo the unimodular matrix is one of the unique matrices with an inverse. The encryption mechanism is modulo matrix multiplication, with shift cipher encryption employed to encrypt defective partitions. The results reveal that the videos are well encrypted and difficult for third parties to read the partition encryption technology assures that the encrypted and decrypted file sizes are the same. The background of this topic is that digital data security is increasingly important due to the increasing use of digital technology. This research aims to develop a more secure and effective video encryption algorithm by combining several cryptographic methods such as Hill cipher, partition, the shift cipher, unimodular matrix, and binary file concept logistic function. The method used in this study is experimental by using the Python programming language to implement the encryption algorithm. The trials were carried out by comparing the performance of the algorithms developed using different key sizes and variations of the combination methods used. The results show that the developed algorithm can provide a high level of security in the video encryption process with good effectiveness. The use of a combination of different cryptographic methods also has a positive impact on the resulting level of security. Therefore, the developed encryption algorithm can be a good alternative for use in securing sensitive video data.