![]() The EMC and the IDC predicted that the amount of data would be more than 40 ZETA-BYTES in the year 2020 . There has been a significant increase in the amount of Big Data, with an increase from the PETA-BYTE to ZETA-BYTE level in only the past two decades. The storage of Big Data has become a major topic of discussion, as people now realize the importance of data in supporting decision making. The data are often collected and stored in the different platforms listed above. Big Data are classified into three categories: unstructured, semi-structured, and structured data . Big Data can also be described as a set of complex or massive data that is difficult to manipulate with traditional database management systems . The term “Big Data” is used to describe the massive amount of data generated from websites, social media platforms, the Internet of Things (IoT), multimedia archives, and other personalized services. ![]() The empirical results and framework evaluation show that our proposed framework provides an effective solution for secure data storage in a Big Data environment. ![]() We present a prototype implementation for our proposed framework using the Ethereum Blockchain in a real data storage scenario. Additionally, it uses mobile agent technology to take advantage of the benefits related to system performance in general. The proposed framework takes advantage of Blockchain technology to provide secure storage of Big Data by managing its metadata and policies and eliminating external parties to maintain data security and privacy. A design science research methodology is used to carry out this project. The main objective of this paper is to propose a new technical framework to control and manage Big Data security and privacy risks. This paper discusses Big Data security and privacy challenges and the minimum requirements that must be provided by future solutions. Cloud storage has advanced in recent times, but it still faces numerous challenges with regard to security and privacy. For this reason, most organizations have resolved to use third-party cloud storage to store data. The sum of Big Data generated from different sources is increasing significantly with each passing day to extent that it is becoming challenging for traditional storage methods to store this massive amount of data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |