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An enhanced multilevel secure data dissemination approximate solution for future networks.

Mohammad Mahmood Otoom1, Mahdi Jemmali2,3,4, Akram Y Sarhan5

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This summary is machine-generated.

This study enhances data protection by categorizing sensitive information into confidential levels. A novel scheduling algorithm, Best-Random Algorithm, significantly minimizes transmission time for secure data transfer.

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Area of Science:

  • Computer Science
  • Information Security
  • Network Security

Background:

  • Protecting sensitive data (financial, personal, governmental) throughout its lifecycle is critical.
  • Existing data categorization and traffic classification techniques require enhancement for robust protection.

Purpose of the Study:

  • To introduce a novel meta-heuristic routine to improve data categorization for traffic classification.
  • To classify private data into multiple confidentiality levels for enhanced security.
  • To address the NP-hard problem of safeguarding transmitted data.

Main Methods:

  • A novel data categorization technique integrated with a meta-heuristic routine.
  • Classification of private data into multiple confidentiality levels.
  • Application of a scheduling algorithm to minimize total transmission time over two routers for NP-hard problems.
  • Performance evaluation using uniform and binomial distributions for packet transmission time datasets.

Main Results:

  • The Best-Random Algorithm (BR) achieved the highest efficiency, recording 0.028s with an average gap of <0.001 in 95.1% of cases.
  • BR outperformed all other proposed algorithms in minimizing transmission time.
  • BR demonstrated superior performance compared to the Modified Decreasing Estimated-Transmission Time algorithm (MDETA), succeeding in 100% of cases versus MDETA's 48%.

Conclusions:

  • The proposed data categorization and scheduling scheme significantly enhances data protection.
  • The Best-Random Algorithm is a highly efficient solution for minimizing data transmission time in secure networks.
  • This research offers a robust method for safeguarding sensitive information transmission.