Shamir’s Key Based
Confidentiality on Cloud Data Storage
Kamalraj Durai
Department of Computer Science, Bharathiar University, India
Abstract: Cloud computing
is a flexible, cost effective and proven delivery platform for providing
business or consumer services over the Internet. Cloud computing supports
distributed service over the Internet as service oriented architecture,
multi-user, and multi-domain administrative
infrastructure, hence it is more easily affected by security threats and
vulnerabilities. Cloud computing acts as a new paradigm where it provides a
dynamic environment for end users and also guarantees Quality of Service (QoS)
on data confidentiality. Trusted Third Party ensures the authentication,
integrity and confidentiality of involved data and communications but fails on
maintain the higher percentage of confidential rate on the horizontal level of
privacy cloud services. TrustedDB on the cloud privacy preservation fails
to secure the query parsers result for generating efficient query plans. To generate efficient privacy preserving query plans on the
cloud data, we propose Shamir’s Key Distribution based Confidentiality (SKDC)
Scheme to achieve a higher percentage of confidentiality by residing the cloud
data with polynomial interpolation. The SKDC scheme creates a polynomial of
degree with the secret as the first coefficient and the remaining coefficients
picked up at random to improve the privacy preserving level on the cloud
infrastructure. The experimental evaluation using SKDC is carried out on the
factors such as system execution time, confidentiality rate and query
processing rate, which improves the efficiency of confidentiality rate and
query processing while storing and retrieving in cloud.
Keywords:
Confidentiality, privacy, cloud computing, SKDC, privacy preserving and polynomial
interpolation.