scholarly journals A Distributed Load-Based Big Data Security Management System

Author(s):  
Ming Xie ◽  
Zubin Chen
Author(s):  
Zaiyong Tang ◽  
Youqin Pan

Big data is a buzzword today, and security of big data is a big concern. Traditional security standards and technologies cannot scale up to deliver reliable and effective security solutions in the big data environment. This chapter covers big data security management from concepts to real-world issues. By identifying and laying out the major challenges, industry trends, legal and regulatory environments, security principles, security management frameworks, security maturity model, big data analytics in solving security problems, current research results, and future research issues, this chapter provides researchers and practitioners with a timely reference and guidance in securing big data processing, management, and applications.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jian Xiao

Based on the unprecedented development of current information technology, under the prevalence of third-party payment, in order to increase the utilization rate of idle resources and meet the diversified economic needs of today’s era, as an emerging economic model-the “sharing economy”, combined with Internet big data, it has effectively realized the perfect connection between supply and demand, and it has quickly swept through all walks of life. However, while promoting economic development, the lack of regulatory measures and the imperfect credit system have severely restricted the further development of the sharing economy. Blockchain technology (BT), as a new distributed infrastructure and computing method, has always been the core technology of Bitcoin. Based on the development of generalized economic model and BT, this paper analyzes the shortcomings of generalized economic model and blockchain technology through information fusion big data and proposes a kind of information based on information fusion big data+public BT. The security management system adapts to the status quo of the sharing economy and uses the functions of information fusion big data+blockchain technology to solve the current information security risks faced by the sharing economy. The experimental results of this article show that the sharing economy information security management system based on information fusion big data+blockchain technology has good protection capabilities. The interception rate of external information reached 95%, and the interception rate of system information reached 93%. Better protection of privacy leaks is needed.


Big Data ◽  
2016 ◽  
pp. 247-260
Author(s):  
Zaiyong Tang ◽  
Youqin Pan

Big data is a buzzword today, and security of big data is a big concern. Traditional security standards and technologies cannot scale up to deliver reliable and effective security solutions in the big data environment. This chapter covers big data security management from concepts to real-world issues. By identifying and laying out the major challenges, industry trends, legal and regulatory environments, security principles, security management frameworks, security maturity model, big data analytics in solving security problems, current research results, and future research issues, this chapter provides researchers and practitioners with a timely reference and guidance in securing big data processing, management, and applications.


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