| Title | Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Al-Odat, Zeyad A., Khan, Samee U. |
| Conference Name | 2019 IEEE International Conference on Big Data (Big Data) |
| Date Published | dec |
| Keywords | anonymous privacy-preserving scheme, Big Data, big data privacy, cloud, cloud computing, cryptography, data decryption, data encryption, data privacy, Encryption, Hadoop distributed file system, human factors, MapReduce, MapReduce framework, Metrics, network operating systems, parallel processing, privacy, Proposals, pubcrawl, Resiliency, Scalability, secure hash algorithm, security |
| Abstract | This paper introduces an anonymous privacy-preserving scheme for big data over the cloud. The proposed design helps to enhance the encryption/decryption time of big data by utilizing the MapReduce framework. The Hadoop distributed file system and the secure hash algorithm are employed to provide the anonymity, security and efficiency requirements for the proposed scheme. The experimental results show a significant enhancement in the computational time of data encryption and decryption. |
| DOI | 10.1109/BigData47090.2019.9006167 |
| Citation Key | al-odat_anonymous_2019 |
Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud