Paper Details

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

Tulsi Snehi, “Digital Signature to Secure Data in Cloud Using Homomorphic Encryption Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 5, pp. 429-433, May 2016.