Secure and Efficient Retrieval of Product Information in Cloud Environment

Cloud computing has emerged as a promising technology for managing vast IT resources in a costeffective and scalable manner. Many enterprises are transitioning from local data management systems to cloud-based solutions to store and manage product information. However, this shift introduces security challenges, particularly in safeguarding sensitive data while ensuring efficient search and retrieval. This paper proposes a privacy-preserving data search scheme for secure outsourcing and retrieval of product information in a cloud environment. The scheme leverages encryption, a secure k-Nearest Neighbor (KNN) algorithm, and an index-based search structure to ensure confidentiality without compromising search performance. Implementation results demonstrate improved security and retrieval efficiency.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17128686
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure and Efficient Retrieval of Product Information in Cloud Environment

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Secure and Efficient Retrieval of Product Information in Cloud Environment

article en

Abstract

Cloud computing has emerged as a promising technology for managing vast IT resources in a costeffective and scalable manner. Many enterprises are transitioning from local data management systems to cloud-based solutions to store and manage product information. However, this shift introduces security challenges, particularly in safeguarding sensitive data while ensuring efficient search and retrieval. This paper proposes a privacy-preserving data search scheme for secure outsourcing and retrieval of product information in a cloud environment. The scheme leverages encryption, a secure k-Nearest Neighbor (KNN) algorithm, and an index-based search structure to ensure confidentiality without compromising search performance. Implementation results demonstrate improved security and retrieval efficiency.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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