Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective.

ABSTRACT: Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage. Unfortunately, absence of any inherent security mechanism in Hadoop increases the possibility of malicious attacks on the data processed or stored through Hadoop. In this scenario, securing the data stored in HDFS becomes a challenging task. Hence, researchers and practitioners have intensified their efforts in working on mechanisms that would protect user's information collated in HDFS. This has led to the development of numerous encryption-decryption algorithms but their performance decreases as the file size increases. In the present study, the authors have enlisted a methodology to solve the issue o

SUBMITTER: Kapil G 

PROVIDER: S-EPMC7924543 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature