Visible to the public Attribute Based Encryption Using Quadratic Residue for the Big Data in Cloud Environment

TitleAttribute Based Encryption Using Quadratic Residue for the Big Data in Cloud Environment
Publication TypeConference Paper
Year of Publication2016
AuthorsChandrasekaran, Balaji, Balakrishnan, Ramadoss
Conference NameProceedings of the International Conference on Informatics and Analytics
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4756-3
Keywordsabe, attribute based encryption, Big Data, Bilinear Pairing, cloud, Metrics, pubcrawl, quadratic residue, Resiliency, Scalability
Abstract

Big data is the next frontier for modernization, rivalry, and profitability. It is the foundation of all the major trends such as social networks, mobile devices, healthcare, stock markets etc. Big data is efficiently stored in the cloud because of its high-volume, high-speed and high-assortment data resources. An unauthorized user access control is the gravest threat of huge information in the cloud environment because of the remote file storage. Attribute Based Encryption (ABE) is an efficient access control procedure to guarantee end-to-end security for huge information in the cloud. Most often existing ABE working principle is based on bilinear pairing. In this paper, we construct a peculiar ABE for big data in the cloud. Our proposed scheme is based on quadratic residue and attribute union which is based on fundamental arithmetic theorem.

URLhttp://doi.acm.org/10.1145/2980258.2980301
DOI10.1145/2980258.2980301
Citation Keychandrasekaran_attribute_2016