Yanfang HOU, Jinhua WANG. Big data security analysis method based on self-update threat intelligence database[J]. Telecommunications science, 2018, 34(3): 50-58.
DOI:
Yanfang HOU, Jinhua WANG. Big data security analysis method based on self-update threat intelligence database[J]. Telecommunications science, 2018, 34(3): 50-58. DOI: 10.11959/j.issn.1000-0801.2018127.
Big data security analysis method based on self-update threat intelligence database
Big data security analysis method is generally based on the existing signature database to detect and match malicious behaviors.This method can only detect known attacks and can't analyze and judge new types of unknown attacks and complex variant attacks.Through the big data analysis technology
the collected data was extracted for safety value
and the value conversion from the collected data
threat information
threat knowledge to threat intelligence was realized
high-value threat intelligence of forming hidden
value selective
adversarial
predictive
and decision-making
evidence-based
time-sensitive was formed.Firstly
the limitations of the existing security analysis methods were analyzed.Then the construction method of threat intelligence database was introduced in detail.Finally
the security analysis method of big data based on self-renewing threat information database was described.The analysis of big data security based on the self-updated threat intelligence database could mine the hidden threats in internet data effectively and strengthen the existing security protection capabilities of internet companies so that the preemptive defense initiative could be mastered during the security game.
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