A Survey on Nominal Duplication of User Data Incorporating Anti-Collusion Schemes in a Cloud Group
Keywords:
Collusion Attack, De-Duplication, Group Manager, ABE Algorithm, Pseudo Random Generator TechniqueAbstract
Interestingly, cloud computing incorporates client terminals which are light weighted in nature, hence the
OSs, applications, and the data are centrally stored in servers that can be shared among a variety of users within a cloud.
This sort of centralization and file sharing within a group can lead to collusion attacks in an insecure cloud. The objective
of this survey is to identify various Anti-Collusion Schemes incorporated in a cloud group to achieve a nominal reduction
in duplication of user data. The Analysis and evaluation of the existing schemes help to identify a solution that ensures
security, privacy, and file access while preventing hacking and collusion attack prevailing in a cloud using ABE
algorithm. The proposed solution provides distribution of key without the need for a secure communication channel using
a group manager. Here the client/user is authenticated using an image as an attribute which uses a pseudo-random
generator technique. Hence, data de-duplication and prevention of unauthorized access to a file using graphical
passwords.