UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 6
June-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2506733


Registration ID:
565322

Page Number

h245-h248

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Title

KEY-POLICY ATTRIBUTE-BASED ENCRYPTION WITH KEYWORD SEARCH IN VIRTUALIZED ENVIRONMENTS

Abstract

In cloud computing environments, ensuring secure data sharing while maintaining efficient data retrieval remains a significant challenge. Traditional encryption methods, while offering confidentiality, often fall short in providing flexible access control and efficient search mechanisms. To address these limitations, this project proposes the integration of Key-Policy Attribute-Based Encryption with Keyword Search (KP-ABE-KS), a privacy-preserving cryptographic scheme that combines fine-grained access control with secure and efficient keyword-based search capabilities. The KP-ABE component enables data owners to define access policies based on user attributes, ensuring that only authorized users with matching credentials can decrypt and access the data. This eliminates the need for constant oversight by the data owner and enforces policy-based access dynamically. Simultaneously, the keyword search functionality allows users to query encrypted data without revealing the content of the data or the search keywords to the cloud service provider, thereby preserving user privacy and enhancing system usability. By integrating KP-ABE with keyword search, the system allows secure and scalable data sharing in virtualized cloud environments such as public or hybrid clouds. The architecture supports dynamic user access, reduces overhead on the data owner, and enables secure retrieval of data without compromising sensitive information. Additionally, the proposed solution is designed to be resistant to various attacks, including keyword guessing and collusion attacks, ensuring robust security for sensitive information stored in the cloud. This project demonstrates the feasibility and effectiveness of the KP-ABE-KS scheme through a prototype implementation, highlighting its potential for secure data sharing in domains such as e-healthcare, financial systems, and enterprise data management where privacy and access control are paramount.

Key Words

: Data Owner, Data User, Cloud Server, Key Management Centre (KMC)

Cite This Article

"KEY-POLICY ATTRIBUTE-BASED ENCRYPTION WITH KEYWORD SEARCH IN VIRTUALIZED ENVIRONMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.h245-h248, June-2025, Available :http://www.jetir.org/papers/JETIR2506733.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"KEY-POLICY ATTRIBUTE-BASED ENCRYPTION WITH KEYWORD SEARCH IN VIRTUALIZED ENVIRONMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pph245-h248, June-2025, Available at : http://www.jetir.org/papers/JETIR2506733.pdf

Publication Details

Published Paper ID: JETIR2506733
Registration ID: 565322
Published In: Volume 12 | Issue 6 | Year June-2025
DOI (Digital Object Identifier):
Page No: h245-h248
Country: Namakkal-637 003, Tamilnadu, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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