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Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics

Authors: ONUIRI Ernest

Publication Type: Journal article

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Abstract

Identity theft is a growing concern in this age of digital technology and applications. Traditional authentication methods such as passwords, passphrases, identity documents etc. are not sufficient to combat this menace. Biometrics lends itself as a better and alternative security measure to fight this problem. However, a major challenge to biometric system is the insecurity of biometric templates stored in the database. As a panacea to the vulnerability of templates stored in the database, we proposed a visual secret sharing scheme for images otherwise known as visual cryptography, such that what is stored is a noise like extracted feature of the template. The subject whose biometric data is being processed also hold a noise like portion of the template. Compromise through attacks on the database becomes difficult without the cooperation of the subject under investigations.

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ONUIRI,E. . (0000). Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics, 0 (), 0-0.

ONUIRI,E. . "Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics" 0, no (), (0000): 0-0.

ONUIRI,E. and . (0000). Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics, 0 (), pp0-0.

ONUIRIE, . Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics. 0000, 0 ():0-0.

ONUIRI,Ernest , . "Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics", 0 . (0000) : 0-0.

O.Ernest , "Generic Prediction of Malaria Treatment Outcomes Using Big Data Analytics" vol.0, no., pp. 0-0, 0000.

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