A New Reversible and high capacity data hiding technique for E-healthcare applications

Parah, Shabir A.; Ahad, Farhana; Sheikh, Javaid A.; Loan, Nazir A.; Bhat, G. Mohiuddin

doi:10.1007/s11042-016-4196-2

Cited by 61 publications

(14 citation statements)

References 23 publications

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“…To further evaluate the robustness of the proposed encryption method, the noise attacks [18], [31] are simulated, including salt and pepper attack, Gaussian attack, and cropping attack. Here, the size of image blocks is set to 4 × 4.…”

Section: D: Noise Attacksmentioning

confidence: 99%

A High Capacity Reversible Data Hiding in Encrypted AMBTC-Compressed Images

Chang

Lin

2020

IEEE Access

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Recently, reversible data hiding in encrypted compressed images (RDHECI) has attracted more attention due to privacy information protection concerns. Meanwhile, AMBTC as one technique of lossy image compression that has lower storage costs and the simplicity in computation and is extensively used in many applications. Hence, this paper proposes an RDHECI scheme based on AMBTC, named O-AMBTC, to address privacy concerns. First, the original image is scrambled in a block-wise manner to generate the scrambled image which then is compressed by an AMBTC compression technique. Subsequently, the derived AMBTC compression codes are encrypted by using the methods of value modulation and stream cipher while the correlations between two quantization levels of AMBTC compression codes are retained and exploited to vacate redundant room to embed secret messages. Data hiding is then performed with the use of PBTL labeling strategy. In addition, another modified AMBTC compression code based RDHECI scheme, called M-AMBTC, is suggested to increase the ability to carry secret messages. In our dual approach, both the AMBTC-compressed image and the secret messages can be correctly recovered. Experimental results show that two proposed schemes are able to achieve average embedding rates as large as 0.6 bpp and 0.8 bpp when the block size is set to 2 × 2, respectively.

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Section: D: Noise Attacksmentioning

confidence: 99%

A High Capacity Reversible Data Hiding in Encrypted AMBTC-Compressed Images

Chang

Lin

2020

IEEE Access

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“…The above method avoids the overflow and underflow information but need to embed the side information as an additional information. Parah et al [11] presented a scheme in which the image is divided into blocks and further that blocks are divided into two types known as seed and non-seed pixels. In this method, they hide the patient's information in the non-seed pixels.…”

Section: A Spatial Domainmentioning

confidence: 99%

A Survey on Medical Images for Reversible Data Hiding Techniques

Bhagat

Bhardwaj

2019

2019 Amity International Conference on Artificial Intelligence (AICAI)

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In the recent trends, technology has advanced so much that most of the individuals are using internet for communication purpose. It became very easy, accurate and fast to send data with the help of internet from one end to another across the world. The major issue while sending data over the internet is the security of the data whether it is personal or confidential. Many of the techniques are there for protecting the data, but data hiding is the most protective technique in data security. Basically, Data hiding is a technique in which secret data is embedded into the cover image and at the receiver side, the host will extract the secret data. Another technique is reversible data hiding (RDH) in which the host can extract the secret data as well as the original image without any loss of data. In this paper, we represent an overview of the recent research in the field of the reversible data hiding techniques, related methods and procedures.

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“…The protection of the sensitive information contained in the Electronic Health Record (EHR) can be identified as a major challenge for efficient implementation of the Health 4.0 initiative [ 11 ]. The virtualization of healthcare systems requires the wireless transmission of EHRs and other sensitive medical information among the healthcare providers and as such various security safeguards have to be put in place [ 12 ]. Many incidents of unauthorized data breaches have been reported globally as well as in the Indian healthcare industry which emphasizes the need for efficient security protocols.…”

Section: Introductionmentioning

confidence: 99%

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Aljuaid¹,

Parah²

2021

Sensors

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Health 4.0 is an extension of the Industry standard 4.0 which is aimed at the virtualization of health-care services. It employs core technologies and services for integrated management of electronic health records (EHRs), captured through various sensors. The EHR is processed and transmitted to distant experts for better diagnosis and improved healthcare delivery. However, for the successful implementation of Heath 4.0 many challenges do exist. One of the critical issues that needs attention is the security of EHRs in smart health systems. In this work, we have developed a new interpolation scheme capable of providing better quality cover media and supporting reversible EHR embedding. The scheme provides a double layer of security to the EHR by firstly using hyperchaos to encrypt the EHR. The encrypted EHR is reversibly embedded in the cover images produced by the proposed interpolation scheme. The proposed interpolation module has been found to provide better quality interpolated images. The proposed system provides an average peak signal to noise ratio (PSNR) of 52.38 dB for a high payload of 0.75 bits per pixel. In addition to embedding EHR, a fragile watermark (WM) is also encrypted using the hyperchaos embedded into the cover image for tamper detection and authentication of the received EHR. Experimental investigations reveal that our scheme provides improved performance for high contrast medical images (MI) when compared to various techniques for evaluation parameters like imperceptibility, reversibility, payload, and computational complexity. Given the attributes of the scheme, it can be used for enhancing the security of EHR in health 4.0.

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A New Reversible and high capacity data hiding technique for E-healthcare applications

Cited by 61 publications

References 23 publications

A High Capacity Reversible Data Hiding in Encrypted AMBTC-Compressed Images

A High Capacity Reversible Data Hiding in Encrypted AMBTC-Compressed Images

A Survey on Medical Images for Reversible Data Hiding Techniques

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

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