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Research on Governance of Bad Information Based on Big Data Technology

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DOI: 10.23977/ESAC2020050

Author(s)

Wei Wu

Corresponding Author

Wei Wu

ABSTRACT

Aiming at the problem of data turbulence existing in the traditional information security filtering system in the big data Web environment, a design of a big data dynamic bad information security filtering system in the Web environment is proposed. Adopting C / S system architecture, the control end of the front-end host is well optimized, which provides a good hardware reserve for subsequent filtering calculations. Through the gate-gate data information filtering system, the traditional filter system avoids the phenomenon of mismatch calculation, and effectively solves the problem of data information shock. The weighted random adaptive algorithm is optimized to ensure that bad data information can be completely filtered in the big data dynamic Web environment. In order to verify the effectiveness of the big data dynamic bad information security filtering system designed in this paper, a comparative simulation test was designed. The experimental data shows that the big data dynamic bad information security filtering system designed in this paper can effectively deal with bad data. Filter information.

KEYWORDS

Network security; governance; big data

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