Research on Campus Network Security Management Technology Based on Big Data

Huang, Lingfang

doi:10.1109/icsgea.2019.00133

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…For assessing network security, different models have been proposed. Huang 64 has developed an algorithm called fuzzy algorithm based on big data modeling and statistical analysis for identifying anomalies in campus networks and the results of the experiments performed using fuzzy algorithms indicate a performance accuracy of up to 99.6%.…”

Section: Network Security Assessmentmentioning

confidence: 99%

An extensive review of data security infrastructure and legislature

Bhavnani

Bardia

Modi

et al. 2021

Security and Privacy

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The last few decades have witnessed technology progress with leaps and bounds leading to the creation and global adoption of different types of digital devices and platforms that can make personalized recommendations to an individual. One of the consequences of the ubiquity of these devices is the daily generation of data in large quantities. This data includes the sensitive data of an individual as well as multinational organizations and therefore, it must be always kept confidential to prevent its theft and misuse by malicious parties. However, the large volumes of data generated make it difficult to create a robust security solution to safeguard the data from different types of cyberattacks. The paper contributes to the data security industry by consolidating numerous data security algorithms that change with the infrastructure that the data is amid and also outlines the regulations surrounding it. This review paper also aims to highlight the benefits and drawbacks of the security algorithms proposed by researchers to encourage further discussion and consideration of the algorithms for their potential implementation in appropriate domains and also inspire them to develop more powerful and robust security algorithms to cover the drawbacks of the existing ones.

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Section: Network Security Assessmentmentioning

confidence: 99%