RETRACTED ARTICLE: Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique

Shankar, K.; Elhoseny, Mohamed; Kumar, Raj; Lakshmanaprabu, S.K.; Yuan, Xiaohui

doi:10.1007/s12652-018-1161-0

Cited by 75 publications

(19 citation statements)

References 35 publications

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“…The model that can be selected for deployment was the model obtained by training using logistic regression as it has an accuracy of 80%. The general architecture combines both prediction of COVID-19 [13][21] [22] by CNN and prediction of Heart disease [14] by machine learning algorithms [4]. The prediction from both these platforms is deployed into Flask API to make user-friendly and interactive HTML pages.…”

Section: Step 3: Exploratory Analysis Of Datamentioning

confidence: 99%

Prognostication of Covid-19 and Heart Disease: A Combined Approach

R¹,

Ramakrishnan²,

Roy³

et al. 2021

2021 International Conference on Communication, Control and Information Sciences (ICCISc)

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COVID-19 infection, caused by the virus SARS-Cov 2 is growing at a rapid rate. As an efficient cure has not been available, early detection is integral for disease cure and control. Predictive algorithms are useful in this scenario. Here, estimation is performed on patients who are likely to come in contact with COVID-19 disease, using clinical predictive models with the help of deep learning. The most informative features are extracted from chest X-ray images for COVID-19 patients and non COVID-19 patients. These images are used for COVID detection. Patients with other chronic diseases are more vulnerable to COVID-19. Hence, we put forward a Heart Disease Prediction system based on machine learning algorithms. The feature selection algorithms are utilized in the feature selection procedures for enhancing the classification accuracy and for minimizing the execution time of the classification system.

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Section: Step 3: Exploratory Analysis Of Datamentioning

confidence: 99%

Prognostication of Covid-19 and Heart Disease: A Combined Approach

R¹,

Ramakrishnan²,

Roy³

et al. 2021

2021 International Conference on Communication, Control and Information Sciences (ICCISc)

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“…In addition to this, a normal image consists of numerous privileged data namely medical-related data, military-related information, etc. Hence, it is essential in protecting the images from illegal or forbidden access [3]. Several image security approaches such as watermarking, cryptography, steganography are designed to obtain an image thereby minimizing the risk of security issues.…”

Section: Introductionmentioning

confidence: 99%

EMFO based Supervision Kernel Entropy Component Analysis for High Speed Encrypted Transmission Model

Skg¹

2021

Preprint

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Recently, Encryption technology plays a vital role in providing secure information. In the multimedia sector, several images and posts are broadcasted via the internet on daily basis; in which the images are transmitted on social media and are subjected to several security attacks. Therefore it is necessary to protect the images from illegal or forbidden access. This paper aims in developing a novel SKECA-EMFO based encrypted transmission system. Here, an effective encryption transmission system is designed using a Bayes minimum risk classifier to secure the sensitive information during the transmission processes. In addition to this, the SM4 encryption algorithm is employed to perform high speed encrypted transmission as well as to achieve intelligent recognition. The novel SKECA-EMFO approach is employed in demonstrating facial expression recognition thereby obtaining an optimal feature set. Finally, seven benchmark functions are utilized to examine and evaluate the effectiveness of the newly developed proposed approach. The comparative analysis is carried out with few approaches and the results reveal that the proposed approach provides better performances when compared with other approaches.

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“…The exposure of the binary secret shares is overwhelmed by concealing them undetectably into some host images. Table 1 explains the measures which are analyzed for the existing research papers that is referred as [1], [2], [10], [11], [13], [17], [19] and [20]. For [1], PSNR and CC are examined; the paper [2] explains the Authentication Capability (%) and Image Quality, [3] investigated PSNR, likewise, other measures are described in the table.…”

Section: Introductionmentioning

confidence: 99%

“…[20] for all the images. For MSE analysis, Lena image achieves 0.28 error rate, likewise, other images are analyzed and compared among ref [20], ref [19], ref [13] and ref [11]. In addition to this, the measure CC is analyzed among four images and compared with ref [1], ref [13], and ref [20].…”

Section: Introductionmentioning

confidence: 99%

Digital Image Secure Share Creation Techniques Analysis: A Survey

Parameswari¹,

Shankar²

2019

IJEAT

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Security is a significant concern in data innovation that managing the web world today. In sharing based technique shares are created, encoded and stored into digital form. This paper discussed the various papers in secret share creation for image security like visual secret share creation, Chinese remainder theorem, Shamir secret sharing and so on. In this design, a secret image is programmed into n shadows of the random model. It is possible to interpret the secret image externally by overlay a certified subset of shadows. These shares are uncovering the secret image to assume to be imprinted on transparencies and in the wake of stacking them to one another. Here more than fifteen papers are analyzed; those papers are gathered from IEEE, Springer, Elsevier and some other Journals. In addition, security measures are analyzed for all image secret sharing procedure.

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RETRACTED ARTICLE: Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique

Cited by 75 publications

References 35 publications

Prognostication of Covid-19 and Heart Disease: A Combined Approach

Prognostication of Covid-19 and Heart Disease: A Combined Approach

EMFO based Supervision Kernel Entropy Component Analysis for High Speed Encrypted Transmission Model

Digital Image Secure Share Creation Techniques Analysis: A Survey

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