Visible to the public Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud

TitleAnonymous Privacy-Preserving Scheme for Big Data Over the Cloud
Publication TypeConference Paper
Year of Publication2019
AuthorsAl-Odat, Zeyad A., Khan, Samee U.
Conference Name2019 IEEE International Conference on Big Data (Big Data)
Date Publisheddec
Keywordsanonymous 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
AbstractThis 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.
Citation Keyal-odat_anonymous_2019