Service Centric Targeted Analysis Attribute Based Data Encryption and Decryption for Cloud Environment

Abstract

Security is the important fact considering centralized service in cloud. As the most
organizations has shifted their focus and data to the cloud environment which allows the users to
access various service that are distributed by the CSP (Cloud Service Provider), the coupling
between the data and data owner gets reduced. This introduces huge challenge in monitoring and
controlling the access of data as well as security among the data access. To handle this several
approaches has been recommended by various researchers which are restricting the access as
well as encrypting the data with different techniques and schemes. However,the security
performances achieved by the techniques are not up to the expected level which introduces data
leakage in noticeable level. To handle this issue and to improve the performance in data security,
a novel Service Centric Targetive Analysis with ABE as (SCTA-ABE) is proposed in this paper.
The method analyzes the target of malicious user by monitoring the access logs of various
services with the access profile being maintained for different users. By monitoring the logs of
specific service, authentication classes produce the attribute level of access by the set of
attributes are identified as sensitive and classified under different level.

This method performs attribute based data encryption with dynamic encryption standards and keys. The results proves
the proposed system produce higher performance compared that any other system