2020
DOI: 10.46253/j.mr.v3i2.a2
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Image Steganography for Pixel Prediction using K-nearest Neighbor

Abstract: Nowadays to secure the privacy of the patient has increased more research interest during the Image steganography process. Least Significant Bit (LSB) substitute approach was widely exploited to hide the sensitive information in the conventional works. Here, each pixel was reinstated to achieve advanced privacy, other than it increased the complexity. This paper develops a new pixel prediction model-based image steganography to surmount the complication problems widespread in the conventional works. In the pro… Show more

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Cited by 5 publications
(2 citation statements)
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“…Classically, the analysis of the stock market employed a huge number of statistical techniques that include exponential smoothing (ES), and autoregressive conditional heteroscedasticity (ARCH) 19 . The systems of stock prediction utilize techniques with several statistical postulations that did not attain reasonable outcomes due to the complexity of fulfilling statistical postulations, like normality and linearity postulates and independence amongst input attributes 20–22 . Various techniques in recent days have made forecasting the stock market considering soft computing skills and statistics.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Classically, the analysis of the stock market employed a huge number of statistical techniques that include exponential smoothing (ES), and autoregressive conditional heteroscedasticity (ARCH) 19 . The systems of stock prediction utilize techniques with several statistical postulations that did not attain reasonable outcomes due to the complexity of fulfilling statistical postulations, like normality and linearity postulates and independence amongst input attributes 20–22 . Various techniques in recent days have made forecasting the stock market considering soft computing skills and statistics.…”
Section: Introductionmentioning
confidence: 99%
“…19 The systems of stock prediction utilize techniques with several statistical postulations that did not attain reasonable outcomes due to the complexity of fulfilling statistical postulations, like normality and linearity postulates and independence amongst input attributes. [20][21][22] Various techniques in recent days have made forecasting the stock market considering soft computing skills and statistics. The earlier studies tend to adapt statistical techniques.…”
mentioning
confidence: 99%