• S.Ramalakshmi
• Dr.V.Vallinayagi

Cloud computing is a type of internet based computing which means storing and accessing data through the internet platform instead of personal computer. Cloud provides number of software, infrastructure,platform and storage services to users. Sheltering user data is the challenging issue in the cloud environment as data is stored and maintained by third party service providers.To address this issue numerous security procedures are followed.Encryption is a peculiar technique used in cloud to protect user data.Encrypting entire data without examining its security needs will lead to excess amount of storage and additional processing power. Outcome of this problem is a classified encryption method [1].According to this method data is classified based on its security level and application of encryption algorithms. Sensitive data needs higher level of encryption techniques whereas basic data does not require these encryption techniques.Various classification algorithms are used such as“Decision tree”,” Random forest”, “KNN” (K Nearest Neighbor), “Naïve Byes” and “C4.5” are some of them.These algorithms follow the supervised learning methods which means these algorithms analyze the new training data with previously labeled data and gives proper output. Main objective of this data classification in cloud is to aim for better security and coherent usage of memory [2]. In this paper, detailed study of these data classification methods used in cloud environment are exposited.

Encryption algorithms, Classification algorithms, Decision tree, Random forest, KNN.

"Review on Data Classification Mechanisms Used In Cloud Computing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.247-252, February-2019, Available :http://www.jetir.org/papers/JETIRAB06043.pdf

"Review on Data Classification Mechanisms Used In Cloud Computing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp247-252, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06043.pdf