Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia

Research Article

Analysis of Security Level Image Steganography Using Secret Key and Gray Codes

Download240 downloads
  • @INPROCEEDINGS{10.4108/eai.20-9-2019.160761,
        author={Danny Sihombing and Poltak Sihombing and Rahmat  Widia Sembiring},
        title={Analysis of Security Level Image Steganography Using Secret Key and Gray Codes},
        proceedings={Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia},
        publisher={EAI},
        proceedings_a={WMA-1},
        year={2019},
        month={10},
        keywords={cryptography steganography least significant bit algorithm modified least significant bit},
        doi={10.4108/eai.20-9-2019.160761}
    }
    
  • Danny Sihombing
    Poltak Sihombing
    Rahmat Widia Sembiring
    Year: 2019
    Analysis of Security Level Image Steganography Using Secret Key and Gray Codes
    WMA-1
    EAI
    DOI: 10.4108/eai.20-9-2019.160761
Danny Sihombing1,*, Poltak Sihombing1, Rahmat Widia Sembiring1
  • 1: Department of Computer Science, Universitas Sumatera Utara, Medan, Indonesia
*Contact email: dani_aseven@yahoo.com

Abstract

In Dagar et al (2013) research, message concealment into grayscale image file with Least Significant Bit (LSB) algorithm, where before it is inserted, the message is encrypted with function SN function and converted into binary value from gray code. The result of this research is that resistance to image manipulation is entered into intermediate level where the stego image of insertion result is not resistant to compression and addition of brightness. So in this study suggested to increase data security, resistance to image manipulation and efficiently hide data and time of extraction. In this research we have done Analysis of Security Level of Image Steganography Using Secret Key and Gray Codes with result obtained that on MSE parameter and image size, SNS Function Gray MLSB algorithm has image with MSE and the smallest file size compared to SN Function Gray LSB algorithm has an image with MSE and the largest file size. For process time parameters, it is concluded that each algorithm has almost the same processing time depending on the size of the image and the message to be inserted. SN Function Gray MLSB algorithm based on MSE parameter shows that, process time and image size is better than SN Function Gray LSB algorithm.