Ant Colony Optimization Technique for Secure Various Data Retrieval in Cloud Computing

Data retrieval is the largest task in any large database, in the world’s largest data bases like cloud data retrieval is the one of the major issue. Retrieving the data and processing the query over cloud server is very difficult. Many searching technique are used for retrieving the data from cloud servers. It can be retrieved through an optimization technique. There are many data retrieval techniques like Boolean Symmetric Searchable Encryption, Secure Ranked Keyword Search over Encrypted Data and Privacy-Preserving Multi-keyword Ranked Search over Encrypted Cloud Data, Over Encrypted Data in Cloud Computing, etc. In this Ant Hill optimization technique is prominent techniques which give hands to solve this problem in efficient way comparing other optimization technique listed above . Ant hill method has not been used in reliability design, yet it is a method that is expressly designed for combinatorial problems. An ant optimization technique for data retrieval is devised and tested on a well known suite of problems from the literature. It is shown that the ant colony method performs with little variability over problem instance. It is competitive with the best known heuristics for data retrieval.