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TECHNOLOGICAL TOOLS FOR DATA SECURITY IN THE TREATMENT OF DATA RELIABILITY IN BIG DATA ENVIRONMENTS |
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| รหัสดีโอไอ | |
| Creator | Luay Abdulwahid Shihab |
| Title | TECHNOLOGICAL TOOLS FOR DATA SECURITY IN THE TREATMENT OF DATA RELIABILITY IN BIG DATA ENVIRONMENTS |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2563 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 11 |
| Journal No. | 9 |
| Page no. | 11A9M: 1-13 |
| Keyword | Information security, Data authenticity, Technological security tools, Reliability of data, Information security mechanism, Big Data technologies, Data legality, Network security measures, Veracity in Big Data, Data privacy. |
| URL Website | http://TuEngr.com/Vol11_9.html |
| Website title | ITJEMAST V11(9) 2020 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | The set of new technological solutions that allow organizations to better manage their information, commonly known as "Big Data", have a growing role in all types of public and private organizations. As a Big Data problem, how data grows in volume, speed and variety can be contemplated. This is due to the great advance and use of information technologies, and the daily use that people make of them. Within the state of the art are found from various definitions of the term Big Data to existing technologies to start a project in an institution of any productive, commercial, or educational branch. This article gives an overview of the data security technology processes, defining those that lead to rising data veracity in Big Data environments. As a result of this analysis, a series of criteria was established relevant to the authenticity of the data and the use of network security measures were suggested for each of these criteria. The article also seeks to lead to further work on information security within Information Science, as it would provide a perspective on the methods available for approaching information security, leading to increasing the reliability of knowledge obtained from contexts containing significant volumes of knowledge. This work proposes adding two criteria for veracity, highlighted as a contribution of this work, in addition to the previous criteria. These are legality and privacy. |
