Paper Title
Minimizing data Loss in Fraud Environment
Abstract
A Data distributor has given precise data to a se t of supposedly trusted agents. Some of the data are leaked and
found in an unjustified place. The distributor must assess the likelihood that the crevice data came from one or more agents,
as opposed to having been individually gathered by other means. The authorize or unauthorized leakage of secret data is no
doubt one of the most major security problems which organizations or systems face in this era. It also affects our personal
day to day life: The personal information is available on social networks, or now-a-days it is also available on Smartphone is
intentionally or unintentionally transferred to third party or hackers. Also a data distributor may give confidential data to
some trusted agents or third parties. During this process some data is leaked or transferred to unauthorized place. We
propose data allocation strategies that will give more probability of identifying leakages. We present a LIME data lineage
framework for data flow across various locations. By using oblivious transfer, robust watermarking, and signature primitives
we develop and analyze the data transfer protocol in a malicious environment between two entities. At the end of we perform
an experimental result and analysis of our framework. We develop and analyze a novel accountable data transfer protocol
between two entities within a malicious environment by building upon oblivious transfer, robust Watermarking, and
signature primitives. Finally, we perform an experimental evaluation to demonstrate the practicality of our protocol and
apply our framework to the important data leakage scenarios of data outsourcing and social networks. In general, we
consider our lineage framework for data transfer, to be an key step towards achieving accountability by design.
Index Terms- Data Leakage Prevention, Data Privacy Leakage Model Watermarking, Data Leakage Protection, Data Loss
Prevention.
Author - Gopidesi Hema Latha, Alahari. Hanumat Prasad
Published : Volume-4,Issue-4 ( Apr, 2017 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-7720
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Published on 2017-06-23 |
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