Big Data Management System Security Threat Model

Poltavtseva, Maria A.; Zegzhda, Dmitry P.; Kalinin, Maxim O.

doi:10.3103/s0146411619080261

Cited by 16 publications

(3 citation statements)

References 13 publications

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“…If the error retry times reach or exceed the upper limit, it means that there is a problem with the input data. It is put into the failed data queue 21 . Modify the table structure of the database, and need to update all data elements under the corresponding table structure to meet the constraint requirements.…”

Section: Blockchain Technology and Financial Enterprise Data Processingmentioning

confidence: 99%

“…It is put into the failed data queue. 21 Modify the table structure of the database, and need to update all data elements under the corresponding table structure to meet the constraint requirements. The framework provides stability of the application and transparency of data migration, which greatly simplifies the difficulty of writing parallel programs.…”

Section: Data Processing Security Systemmentioning

confidence: 99%

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Application of blockchain technology in the data processing security system of financial enterprises

Yu¹

2022

Security and Privacy

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Data security is not only to consider administrative management methods and punitive measures, but also technically from multiple perspectives such as data integrity, authorization, controllability, and the ability to trace back history. This article analyzes the application of blockchain technology to the data processing security system of financial enterprises, with the purpose of demonstrating the feasibility of blockchain technology to maintain data security and its specific operation methods. This research refers to a large number of references and understands the related systems of data confidentiality in financial enterprise databases and blockchain technology. According to the needs of the experiment, the article constructs the execution structure model of the financial enterprise database data confidentiality system, the task scheduling operation structure model, and the block. The chain domain authentication model, and so forth, carried out corresponding comparative analysis from the processing dimensions of time and space consumption, data security, and so forth, and verified the comprehensive performance of blockchain technology in the application of data security systems. The reliability factor is called the R factor, which is a parameter representing the degree of conformity of several curves, that is, the reliability degree of the assumed model structure. The R factor should be sensitive to the position of surface atoms but not to unstructured quantities, such as electron-atom scattering field, electron decay, and so forth, which are all unstructured quantities. The experimental results show that before the participation of blockchain technology, the maximum reliability of financial data is only 4.3, and the reliability of data confidentiality after application is increased to 6.8. Multidimensional data shows that blockchain technology can provide guarantee for the application of data processing security systems for financial enterprises.

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Section: Blockchain Technology and Financial Enterprise Data Processingmentioning

confidence: 99%

Section: Data Processing Security Systemmentioning

confidence: 99%

Application of blockchain technology in the data processing security system of financial enterprises

Yu¹

2022

Security and Privacy

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“…The social harm of cybercrime is easily overlooked by people. Nowadays, more and more online financial theft, online fraud, and the dissemination of pornographic information on the Internet make people gradually realize the harm that computer network brings to personal life (Poltavtseva 2019). However, the social harm caused by some cybercrimes is actually difficult for everyone to see, and even criminals are hard to predict.…”

Section: Concepts Related To Computer Cybercrimementioning

confidence: 99%

Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime

Wang

2022

Journal of Global Information Management

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This paper aims to study the Countermeasures of big data security management in the prevention and control of computer network crime in the absence of relevant legislation and judicial practice. Starting from the concepts and definitions of computer crime and network crime, this paper puts forward the comparison matrix, investigation and statistics method and characteristic measure of computer crime. Through the methods of crime scene investigation, network investigation and network tracking, this paper studies the big data security management countermeasures in the prevention and control of computer network crime from the perspective of criminology. The experimental results show that the phenomenon of low age is serious, and the number of Teenagers Participating in network crime is on the rise. In all kinds of cases, criminals under the age of 35 account for more than 50%.

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