INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Abstract: Data lineage is defined as a data life cycle that includes the data's origins and where it moves over time. It describes what happens to data as it goes through diverse processes and also provides visibility into the analytics pipeline which simplifies tracing errors, back to their sources. It also enables replaying specific portions or inputs of the dataflow for step-wise debugging or regenerating lost output. Data Leakage is the unapproved communication of data (or information) from source to an external destination. In this paper, we examine and submit a survey report on generic data lineage framework LIME for data flow across multiple entities that take principal roles (i.e., owner and consumer).The exact security guarantees required by such a data lineage mechanism toward identification of a guilty entity, by identifying and simplifying non-repudiation and honesty assumptions are presented. By using oblivious transfer, robust watermarking, and signature primitive’s development and analyzing the data transfer protocol in a malicious environment between two entities is explained. Finally, we analyze an experimental evaluation to demonstrate the practicality of the protocol and apply the framework to the important data leakage scenarios of data outsourcing and social networks. In this work, we examine a watermarking based scheme to claim the identity of the leaker even if the data passes through multiple agents from data source to data usage centers.
Keywords:
Keywords: Data Leakage, Data Provenance, Watermarking, Data Privacy, Security and Privacy, Obvious transfer, robust watermarking, Signature primitives and Accountability.
Cite Article:
"A Survey On LIME A Generic Data Lineage Framework ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 11, page no.92 - 103, November-2017, Available :http://www.ijsdr.org/papers/IJSDR1711018.pdf
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Publication Details:
Published Paper ID: IJSDR1711018
Registration ID:170841
Published In: Volume 2 Issue 11, November-2017
DOI (Digital Object Identifier):
Page No: 92 - 103
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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