A novel fuzzy logic-based image steganography method to ensure medical data security

Karakış, Rukiye; Güler, İnan; Capraz, Irem; Bilir, Erhan

doi:10.1016/j.compbiomed.2015.10.011

Cited by 54 publications

(45 citation statements)

References 21 publications

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“…To protect medical data, R. Karakis and et al [8] transformed them into a single file format with the use of steganographic methods, choosing an electroencephalogram (EEG) to be the hidden data. In addition, image headers contained the doctor's comments and patient information.…”

Section: Related Workmentioning

confidence: 99%

“…This stego-key is the same as the one used by the sender. Thus, security is achieved by hiding the existence of the message [7].The main objectives of steganography are imperceptibility, robustness, capacity of the hidden message, and resistance to tampering [8,9]. Imperceptibility refers to hiding data in such a way that the cover media can be discovered only by the receiver [10].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Information Security System based on Steganography and Compression Techniques for Higher Education Institutions

Hosnia¹,

Ahmed²

2018

IJCA

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With the advancement of technology and the methods of information storage and exchange, the security of information and data became a vital issue for many institutions, especially higher education institutions. This paper introduces a novel and efficient information security system based on steganography and compression techniques to address the issues related to the security and efficient transmission of secret data in higher education institutions. In this system, the Lempel Ziv Welch (LZW) compression technique is used to compress the data to be hidden, to reduce their size and thereby reduce the percentage of distortion that may occur to the cover image. In addition, a new data hiding algorithm has been developed depending on the second bit, where data are hidden based on LSB without making any changes to the values of the second bit. If any changes are made, these will be only within LSB, which reduces the distortion in the cover image and increases the similarity between the cover image before and after hiding. In the retrieval stage, hidden data are retrieved from the second bit only. The proposed system performance was evaluated in terms of MSE (mean square of error), PSNR (peak signal-to-noise ratio), PD (pixel distortion) and BER (bit error rate). The experimental results confirm the efficiency of the proposed system that achieves good results with higher PSNR and lower MSE.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Information Security System based on Steganography and Compression Techniques for Higher Education Institutions

Hosnia¹,

Ahmed²

2018

IJCA

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show abstract

“…L is also the dynamic range of the pixel-values. 1 and 2 have default values as 0.01 and 0.03, respectively [18].…”

Section: A Quality Measuresmentioning

confidence: 99%

QAM-DWT-SVD Based Watermarking Scheme for Medical Images

Ayad¹

2018

IJIMAI

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This paper presents a new semi-blind image watermarking system for medical applications. The new scheme utilizes Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) to embed a textual data into original medical images. In particular, text characters are encoded by a Quadrature Amplitude Modulation (QAM-16). In order to increase the security of the system and protect then the watermark from several attacks, the embedded data is submitted to Arnold Transform before inserting it into the host medical image. To evaluate the performances of the scheme, several medical images have been used in the experiments. Simulation results show that the proposed watermarking system ensures good imperceptibility and high robustness against several attacks.

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“…While in the study [12] data integrity is using Huffman encoding techniques with a good quality PSNR of 61,48 db. The study [10] is using Fuzzy Logic techniques to ensure the data integrity and this method is applied particulary in health sector with PSNR value of 57,5.…”

Section: Information Securitymentioning

confidence: 99%

Steganography algorithm multi pixel value differencing (MPVD) to increase message capacity and data security

Rojali¹,

Siahaan²,

Soewito³

2017

AIP Conference Proceedings

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A novel fuzzy logic-based image steganography method to ensure medical data security

Cited by 54 publications

References 21 publications

A Novel Information Security System based on Steganography and Compression Techniques for Higher Education Institutions

A Novel Information Security System based on Steganography and Compression Techniques for Higher Education Institutions

QAM-DWT-SVD Based Watermarking Scheme for Medical Images

Steganography algorithm multi pixel value differencing (MPVD) to increase message capacity and data security

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