Empirical analysis of security enabled cloud computing strategy using attribute based encryption scheme

In this modern world, there is a huge requirement to convert each and every record into digital format
and store those records in a safe place. The concept of storing such huge records in digital format over
the system is complex to maintain and needs sufficient storage. It needs to be recovered with Remote
Storage Servers, in which the data can be stored over there instead of maintaining the data on local server. The concept of using such cloud servers again need to concern with two complex issues, one is called
data maintenance and the other one is security. The data maintenance scheme is the most important concern to deal with cloud and remote server systems, which needs to be properly allocated and scheduled
for storing the digital records over the server. The data maintenance scheme follows duplication elimina-
tion strategies, in which the system allows the user to upload the unique documents. The data uploaded
by the user is cross-verified by the Duplication-Avoidance Scheme over the proposed system and once
the data is not matched with any of the content presented already into the server means it will be pre-
ceded for further storage, otherwise the data cannot be allowed to push into the server. The second con-
cern is Security, in which the data or records maintained into the remote server need to be secured with
proper crypto mechanisms. In present industry there are multiple intruders and attackers available to
hack and attack the data maintained into the server. All these are possible for intruders only when the
data content is weak in security norms. So, that the proposed approach used an advanced encryption
strategy called Attribute Based Encryption Scheme (ABES). This proposed approach encrypts the data
based on user attributes and dynamically generated security codes.