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Secure and Efficient Outsourced Clustering using k-Means with Fully Homomorphic Encryption by Ciphertext Packing Technique

  • Unique Paper ID: 166310
  • Volume: 11
  • Issue: 2
  • PageNo: 637-644
  • Abstract:
  • In our current reality where enormous organizations use cloud administrations to run applications, safeguarding information security and privacy is basic. This is especially valid for sensitive enterprises like medical care, money, and AI-driven applications where independent direction depends on ML calculations. At the point when cloud servers are utilized for ML exercises, there are stresses with respect to information openness and conceivable abuse. This examination proposes an inventive procedure to beat these troubles. The scholars give a clever thought: Secure and Re-appropriate KMEANS ML Calculation to safeguard information protection and save the mystery of delicate data. Utilizing Fully Homomorphic Encryption (FHE), which grants performing expansion and augmentation straightforwardly on encoded information without unveiling the first information, this clever methodology utilizes scrambled information. Secure estimations on the encoded information are made conceivable by the mystery key produced by the FHE encryption, which kills the requirement for unscrambling. The improvement of YASCHE Completely Homomorphic encryption, which joins numerous plaintexts into a solitary ciphertext, is the premise of this imaginative system. This pressing system makes it more straightforward to register in equal, which permits information to be moved to a few mists and enormously builds the plan's processing effectiveness. Since FHE depends on numerical polynomial computation, it is feasible to perform ML exercises on encoded information in a solid and successful way while making preparations for unlawful access and cloud suppliers abusing the information. Basically, the proposed approach empowers organizations to involve the cloud's handling limit with respect to ML tasks while maintaining the best principles of information security and protection. It guarantees the security of delicate information in a period of expanding interest for cloud administrations by making ready for protected and powerful AI like facial acknowledgment, wellbeing expectation, and qualification assessments for advances or Visas in a cloud-based climate.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 637-644

Secure and Efficient Outsourced Clustering using k-Means with Fully Homomorphic Encryption by Ciphertext Packing Technique

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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