Securing Big Data for Knowledge Management into a Circular Economy

被引:0
|
作者
Bucea-Manea-Tonis, Radu [1 ]
Kuleto, Valentin [2 ]
Plojovic, Semsudin A. [2 ]
Beteringhe, Adrian [3 ]
Ilic, Milena P. [2 ]
机构
[1] Hyper Univ Bucharest, Econ Sci, Bucharest 030615, Romania
[2] Univ Business Acad Novi Sad, Fac Contemporary Arts Belgrade, Informat Technol Sch ITS Belgrade, LINK Grp Belgrade, Belgrade 11000, Serbia
[3] Danubius Univ Galati, Informat & Social Assistance, Galati 800654, Romania
关键词
big data; NoSQL; RSA;
D O I
10.3390/su142214851
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information about actions to be taken by the system may expose the values of the system's parameters. Securing the data will stop any third party from interfering with the communication and sending its commands to the remote system. Thus, the article presents a case study that proves how to secure BD read/write operations using the Gauss function and how to use Secure Shell (SSH), a cryptographic network protocol, to generate key-value pairs for safely operating services over an unsecured network.
引用
收藏
页数:11
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