An Improved Cybersecurity Model using Cryptography and Steganography with NTRU-LSB Algorithm

Souley Boukari, Jaafaru Bobbo

© 2020 Jaafaru Bobbo, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: SAR Journal. Volume 3, Issue 2, Pages 71-78, ISSN 2619-9955,, June 2020.

Received: 19 October 2019.
Revised:   06 April 2020.
Accepted: 15 May 2020.
Published: 30 June 2020.


Data and information has become one of the prime targets of hackers due to the sensitive nature of patients’ information. Some methods such as DES, 3DES, Blue fish and AES were used but found to be inefficient. This research aims to reduce the vulnerability of threats and increase the user satisfaction based on Embedding Capacity (EC), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) on patient’s information since healthcare systems are getting very common within the society. Nth Degree Polynomial Ring Unit and Least Significant Bits were used to encrypt a text message into audio file. The research, therefore, developed a hybrid security system that can hide compressed information in audio using NTRU and LSB. The concept of cryptography and steganography was introduced to encrypt the original data by using symmetric key cryptography and to hide that data into an audio file. The proposed model was developed using MATLAB R2018(a) software. The results revealed that the proposed model is more secured in comparison to the existing model. The MSE for the proposed system is 2.4320e-06 as against 2.5321e-06 for the existing model with the peak signal to noise ratio of 156.1154 and 161.0154 for the proposed system. The proposed system has embedding capacity of 0.020 bps, while the existing system is having 2.75 bps. From the result analysis, the proposed system has performed significantly better than the existing system in terms of MSE, PSNR and embedded capacity.

Keywords – Cybersecurity; Nth Degree Polynomial Ring Unit (NTRU); Least Significant Bit (LSB); Cryptography, Steganography, Stego - audio Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), embedded capacity.


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