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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

Analisis keamanan steganografi teks dengan metode lsb (least significant bit) pada citra digital Aqilah Syaima' Fadel; Rianto David Saputra; Fatma, Yulia; Risky Nanda Putra
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6759

Abstract

The rapid development of technology makes it possible for unauthorized parties to extract messages from cover media. Therefore, additional security measures are required to protect the hidden message. Previous research has proposed combining steganography and cryptography techniques. Cryptography, as a technique for securing messages, can be classified into modern and classical based on the time it emerged. The key types include symmetric and asymmetric cryptography with some popular algorithms such as Rivest Cipher 4 (RC4), Data Encryption Standard (DES), and Advanced Encryption Standard (AES). Steganography, which is the art and science of hiding messages, is important for maintaining the confidentiality and security of data and information. Despite the advantages of sending data over the internet, there are disadvantages such as cybercrime, including eavesdropping and data alteration. The Least Significant Bit (LSB) method is a well-known strategy in steganography, mainly by using the LSBs of image pixel data. This method provides high security and can customize embedding techniques without information loss due to compression and invisible changes in image steganography. The importance of using a lossless compression format when using the LSB method is illustrated in stego image compression. The use of compression formats that suffer from loss (lossy) can result in the loss of the secret message. Although LSB steganography is commonly used due to its simplicity, it is vulnerable to detection by sophisticated steganographic analysis algorithms. This research highlights the limitations in information hiding capacity and security risks that need attention.
Perbandingan Algoritma SIMON dan SPECK Dalam Pengamanan Citra Digital Fatma, Yulia; Soni; Mikdad Amseno
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.7619

Abstract

Cryptography is a data security technique by encoding data that is to be kept secret so that the original meaning of the data can no longer be understood. SIMON and SPECK are modern cryptographic algorithms issued by the National Security Agency (NSA). SIMON and SPECK are said to be algorithms that are known for their efficiency and strong security. This research will compare the performance of the SIMON and SPECK algorithms in securing digital images. Comparisons were made by testing time performance, changes in file size, and the level of randomness of image files using the Unified Average Changing Intensity (UACI) and Number of Pixels Change Rate (NPCR) metrics. The research results show that the average encryption and decryption time required by the SIMON algorithm is greater when compared to the SPECK algorithm. The image file size resulting from encryption using the SIMON and SPECK algorithms both increased by 24% from the original image. The level of randomness of the resulting image based on the UACI value obtained using the SIMON algorithm was found to be an average of 19.65%, while the UACI value obtained using the SPECK algorithm was an average of 20.94%. This shows that there is a significant change in intensity between the original image and the encrypted image. However, not all pixels in the encrypted image change when compared to the original image, this is shown by the NPCR value obtained from the SIMON and SPECK algorithm encrypted image, with average results of 49.98% and 50.17%.