Digital Signature to Secure Data in Cloud Using Homomorphic Encryption Technique

Abstract

Cloud Computing has been the most promising innovation in the computing world in past decade. With the advancement
in technology, industry and research a large amount of complex and pervasive digital data is being generated which is increasing at
an exponential rate and often termed as big data. Traditional Data Storage systems are not able to handle Big Data and also
analyzing the Big Data becomes a challenge and thus it cannot be handled by traditional analytic tools. Cloud Computing can resolve
the problem of handling, storage and analyzing the Big Data as it distributes the big data within the cloudlets. In spite of its numerous
advantages in both technical and business aspects, cloud computing still poses new challenges particularly in security of Big Data
storage. Data Privacy is one of the major issues while storing the Big Data in a Cloud environment. Data Mining based attacks, a
major threat to the data, allows an adversary or an unauthorized user to infer valuable and sensitive information by analyzing the
results generated from computation performed on the raw data. In this thesis digital signature and homomorphic encryption algorithm
are used to protect confidentiality of data stored in cloud by using a secure k-means data mining approach assuming that the data to
be distributed among different hosts maintaining the privacy of the data. The approach is able to maintain the correctness and validity
of the existing k-means to generate the final results even in the distributed environment