Image encryption in code based compression algorithms based on multilevel image structure model

Bezzateev, Sergey; Voloshina, Natalia

doi:10.1109/icumt.2017.8255187

Cited by 2 publications

(1 citation statement)

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“…There are studies to prove that image compression can be utilized for image security especially in IoT environment. The study carried out by Bezzateev and Voloshina [17] have shown that image compression technique using code-based approach can assists in better form of image encryption apart from benefit the storage size. An error-correcting codes was used for constructing error distribution blocks action as an encrypted image.…”

Section: A Data Security Schemes In Iotmentioning

confidence: 99%

Architectural Framework for Intelligent and Secure Aadhar Data Management Synchronized with both Offline and Online Transaction Systems

Dule*,

K M

2020

IJITEE

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The information of the citizens identity are reposited in the national database system that demands higher degree of security features in order to combat the privacy problems associated with it. The information retained within an identity of a citizen is highly valuable as well as sensitive as it is constructed by integrating various forms of biometric trails e.g. iris, fingerprint etc along with their personal details. Aadhar is one of such initiatives by Government of India by their “Unique Identification Authority of India (UIDAI) project” that generates 12-digit random number as unique identity. The Government of India is in progressive approach to integrate various social and security related applications to Aadhar in order to achieve identification-based service provisioning. In the recent news, Aadhar details have been reported to be encountered a serious security breach that endangered the private details of the Aadhar card holders. Therefore, a robust and efficient secure eco-system is required to keep national ID database secure. This chapter aims to describe novel framework for Aadhar data privacy and storage management by adopting efficient data blockage and transformation over cloud storage using statistical method based on data embedding by blocking and transformation.

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Section: A Data Security Schemes In Iotmentioning

confidence: 99%