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The Role of Mining and Detection of Big Data Processing Techniques in Cybersecurity

Applied Mathematics and Nonlinear Sciences, ISSN: 2444-8656, Vol: 9, Issue: 1
2024
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    Citations
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    Usage
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    Captures
  • 1
    Mentions
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    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    1
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Research from School of Information Technology in the Area of Data Mining Described (The Role of Mining and Detection of Big Data Processing Techniques in Cybersecurity)

2024 MAY 20 (NewsRx) -- By a News Reporter-Staff News Editor at Network Daily News -- New study results on data mining have been published.

Article Description

The need for advanced detection methods has become more critical in light of the increasing prevalence of network security incidents. This study proposes a novel approach to network security detection using a fuzzy data mining algorithm, addressing the rising challenges in big data processing and network security. The paper outlines the evolution of big data analytics by exploring the integration of network security detection, data mining, and structural feature analysis. Data for this research was collected using a sniffer device and underwent extensive preprocessing to ensure diversity and applicability. To overcome the limitations of traditional data mining, such as the issue of sharp boundaries, this method combines fuzzy logic with data mining techniques, enhancing conventional network security protocols. Simulation experiments demonstrate the efficacy of this fuzzy mining-based approach, with results showing 987,238 predicted positive cases, 93,951 of which were accurate. The method achieves an impressive 93.65% accuracy and 92.55% recall rate, proving its capability to promptly identify and mitigate suspicious network activities.

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