Securing Provenance Data with Secret Sharing Mechanism: Model Perspective

Title

Securing Provenance Data with Secret Sharing Mechanism: Model Perspective

Creator

Kumar K.P.; Cherukuri R.C.

Description

Elicitation about the genesis of an entity is referred to as provenance. With regards to data objects and their relationships the same is termed as data provenance. In majority of the instances, provenance data is sensitive and a small variation or adjustment leads to change in the entire chain of the data connected. This genesis needed to be secured and access is granted for authorized party. Individual control in preserving the privacy of data is common scenario and there are a good number of approaches with respect to cryptography. We propose a unique model, wherein the control of the data is available with multiple bodies however not with one; and when an access has to be granted for a genuine purpose, all the bodies holding their share will have to agree on a common platform. Combining these shares in a peculiar pattern allows the grant for accessing data. The method of allocating control to multiple bodies and allowing grant based on combining stakes is called as secret sharing mechanism. Division of the shares can be drawn from visual encryption approach. It provides transparencies for a given input message. This paper throws light on a framework associated to securing provenance via secret sharing security notion. 2019 IEEE.

Source

2019 International Conference on Data Science and Communication, IconDSC 2019

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Data Lineage; Provenance; Secret Sharing; Shares; Visual Encryption

Coverage

Kumar K.P., Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Cherukuri R.C., Electronics and Communication Engineering, Nova College of Engineering and Technology, Vijayawada, Andhra Pradesh, India

Rights

Restricted Access

Relation

ISBN: 978-153869319-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IconDSC.2019.8816978

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072786138&doi=10.1109%2fIconDSC.2019.8816978&partnerID=40&md5=a532be6e7642d08d59c39016a7a51ad9