A Comparative Study of different attribute based encyrption models for cloud data security

S Kranthi Kumar; Dr. P. V Siva Kumar; M Venkata Krishna Rao

doi:https://doi.org/10.14445/22315373/IJMTT-V51P514

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 51 | Number 2 | Year 2017 | Article Id. IJMTT-V51P514 | DOI : https://doi.org/10.14445/22315373/IJMTT-V51P514

A Comparative Study of different attribute based encyrption models for cloud data security

S Kranthi Kumar, Dr. P. V Siva Kumar, M Venkata Krishna Rao

Abstract

With the rapid development of the distributed computing and internet architectures, there is an exponential demand for data processing and sharing resources in the cloud environment. The third-party provider needs to implement trusted access control and confidentiality for the cloud customers. Also, it is highly recommendable for the large scale applications to support one to many communications to reduce the data encryption and decryption mode. Ensuring the security and access of the cloud data is a major issue, as users often store their sensitive data with the third party authorities, but these TPA may be interested. The access control mechanism ensures that trusted clients are able to access data and unauthorized clients are not able to access data from the remote cloud server. Most of the client’s data stored in the remote cloud server are highly sensitive and need to secure against third party authorities and unauthorized users. In this paper, traditionally, Attribute based encryption and decryption such as CP-ABE, KP-ABE,HPABE, Homomorphic ABE approaches are studied with different security parameters. Also, an analysis of the different attribute based encryption techniques along with limitations and security challenges are discussed.

Keywords

ABE, Cloud security, Encryption and Decryption Algorithm.

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Citation :

S Kranthi Kumar, Dr. P. V Siva Kumar, M Venkata Krishna Rao, "A Comparative Study of different attribute based encyrption models for cloud data security," International Journal of Mathematics Trends and Technology (IJMTT), vol. 51, no. 2, pp. 113-118, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V51P514