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SECURING ENCRYPTED GRAPH ANALYSIS IN THE CLOUD ADVANCES IN PRIVACY-PRESERVING SPECTRAL METHOD

  • Unique Paper ID: 179223
  • Volume: 11
  • Issue: 12
  • PageNo: 5901-5905
  • Abstract:
  • As the adoption of cloud-based solutions accelerates, there is a pressing need for systems that can ensure the secure handling of sensitive data while supporting efficient analytical operations. To address this challenge, we propose a robust framework that facilitates encrypted graph data analysis within a secure cloud infrastructure. The system combines strong privacy protections with operational efficiency by incorporating a layered access control mechanism. User registration is overseen by a dedicated Third Party Authority (TPA), which issues authentication tokens after identity verification. These tokens work alongside unique encryption keys generated by a centralized Key Distribution Center (KDC), ensuring that file access is restricted to authorized individuals only. Users can perform core operations such as uploading, downloading, or revoking access with full confidence in the system's security model.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 5901-5905

SECURING ENCRYPTED GRAPH ANALYSIS IN THE CLOUD ADVANCES IN PRIVACY-PRESERVING SPECTRAL METHOD

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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