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Securing Confidential Data using Dual Image Steganography by maintaining Data Integrity using Huffman Parity Algorithm

Shetty, Ashish (2020) Securing Confidential Data using Dual Image Steganography by maintaining Data Integrity using Huffman Parity Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

With the advancement in technology, over the years, the amount of data has increased exponentially, and with growing data, security has become a significant concern. Steganography plays a vital role in hiding the data within an image, audio, and video file. It has been seen that the mere use of Steganography with sensitive data can be easily decrypted, or degrading methods or techniques can be used to degrade the pixels in an image. So, in order to maintain the confidentiality and integrity of the data, an enhanced version of Steganography and cryptography comes in the picture. In this paper, we have proposed a technique of hiding and securing sensitive data using Dual Image Steganography, which plays a significant role in securing secret/sensitive data within two wrapped images, which uses 256-bit AES Encryption for ciphertext using Haar Discrete Wavelet Transform (HDWT) for hiding the data in one of the high-frequency sub-data which comprise of four bands and has excellent space-frequency localization property, which increases the impalpability and the hiding capacity, while implementing the Huffman Parity Coding Algorithm which acts as a lossless compression method so that the data should not get lost and lose its quality. The proposed method can help in achieving a secure transmission of sensitive data between the end-users.
Keywords: Dual Image Steganography, 256-bit AES Encryption, Haar Discrete Wavelet Transform, Huffman Parity Algorithm.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Dan English
Date Deposited: 27 Jan 2021 18:23
Last Modified: 27 Jan 2021 18:23
URI: http://norma.ncirl.ie/id/eprint/4516

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