A Secure Cloud Computing Model based on Data Classification

Abstract

In cloud computing systems, the data is stored on remote servers accessed through the internet. The increasing volume of personal and vital data, brings up more focus on storing the data securely. Data can include financial transactions, important documents, and multimedia contents. Implementing cloud computing services may reduce local storage reliance in addition to reducing operational and maintenance costs. However, users still have major security and privacy concerns about their outsourced data because of possible unauthorized access within the service providers. The existing solutions encrypt all data using the same key size without taking into consideration the confidentiality level of data which in turn will increase the cost and processing time. In this research, we propose a secure cloud computing model based on data classification. The proposed cloud model minimizes the overhead and processing time needed to secure data through using different security mechanisms with variable key sizes to provide the appropriate confidentiality level required for the data. The proposed model was tested with different encryption algorithms, and the simulation results showed the reliability and efficiency of the proposed framework.

Secure Cloud Model using Classification and Cryptography

“…Zardari MA et.al [10] In this paper they had used the K-NN approach for in order to do classification of data inorder to provide the confidentiality of data.The main aim to classify data is to provide security.In this approach they classify the data into labels sensitive and non-sensitive data using K-NN algorithm.On the sensitive data the encryption is done inorder to provide the security.Classification is mainly performed because it become easy to select an appropriate security for data according to need of data.So this way it will enhance the security. Shaikh, Rizwana et.al [11] This paper had contributed another important technique inorder to enhance the security of data in cloud by considering the classification technique.In this different parameters are been taken into consideration to provide the classification of data and then on the classified data the encryption is performed.Different classification properties considered are access control, content and storage.On these properties the data classification is done and then the encryption is performed to enhance more security and better efficiency.Tawalbeh L et al [12] In this paper they had contributed the secure cloud computing model based on the classification which basically minimizes the overhead and processing time needed to secure the data through using different security mechanism with variable keysizes to provide the confidentiality level required for data.Classification is done by user manually and the encryption is been performed in three different level with different cryptographic algorithm.The levels are based on the sensitivity of data which includes Basic, Confidential and highly confidential level.The different cryptographic algorithm are been used at different levels to provide the security of data upto a great extent.…”

Security Problems in Cloud Computing

“…Classification [30] The author presents a framework, which allows users to encrypt their data using their key which is not known to the provider. The database is encrypted Based on the degree of confidentiality.…”

Privacy and Security Aware Cloud Storage using Double Cryptography Method

“…This creates the security and privacy issues among the users especially data leakage or data loss. Generally, most of the clients are storing their sensitive data in cloud storage, it has maximum security but therefore several threats still exist [3][4][5].…”