Dynamic Multi-Keyword Search for Secure Data Storage in the Cloud using Cuckoo Filter

Abstract

In current days cloud domain gained a tremendous increase of user’s attention by several
small and large scale companies including Software, BPO, Medical, Schools and a lot more. Since
there was very less security in the primitive clouds for storing and accessing the information from
the remote locations, still there was a lot of demand for the data which is to be stored in the cloud.
As we know that in primitive clouds, there are no concepts like privacy for the data in terms of
encryption and message digest in order to provide data authorization. In current days cloud servers
are almost dishonest in nature by omitting intentionally some qualified results to save
computational resources and communication overhead. In this paper, we try to design a new
protocol and analyze the importance of Cuckoo filter over encrypted cloud data to provide data
search accurately by the cloud users. Here we try to encrypt the data using AES algorithm and try
to generate MAC key for the data which is uploaded and downloaded by the cloud users. For data
authorization we use MD5 algorithm and with the help of MD5 algorithm, we can generate a short
signature to find out the data verification and finally we try to apply Cuckoo filter for data
integrity. This cuckoo filter will try to store the data in duplicated manner and try to provide end
user with original data.