IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Towards Achieving Keyword Search over Dynamic Encrypted Cloud Data with Symmetric-Key Based Verification
Authors Name: Dr K VIJAYA BHASKAR , Shaik Nayaz , U.Muni Sekhar
Download E-Certificate: Download
Author Reg. ID:
IJNRD_207230
Published Paper Id: IJNRD2310278
Published In: Volume 8 Issue 10, October-2023
DOI:
Abstract: As organizations increasingly adopt cloud storage solutions to store and manage their sensitive data, the need for secure and efficient keyword search over this data becomes paramount. This paper presents a novel approach towards achieving keyword search over dynamic encrypted cloud data while incorporating symmetric-key-based verification mechanisms. In traditional cloud storage systems, security concerns have limited the ability to perform efficient keyword searches on encrypted data. This limitation is particularly pronounced in scenarios where data is frequently updated or modified. Our proposed solution addresses this challenge by combining advanced encryption techniques with efficient verification methods. The core of our approach involves encrypting data with symmetric keys and securely delegating search capabilities to the cloud service provider. To ensure data integrity and authenticity during retrieval, we introduce symmetric-key-based verification mechanisms that allow users to verify search results efficiently. This verification process enhances trust and confidence in the cloud environment. Furthermore, we consider the dynamic nature of cloud data by developing mechanisms that enable users to perform keyword searches over data that is subject to updates and changes. This adaptability is essential for real-world applications where data is continuously evolving. Our experimental results demonstrate the feasibility and efficiency of the proposed approach, showcasing its effectiveness in achieving secure and dynamic keyword searches over encrypted cloud data. By bridging the gap between security and functionality, our method offers a practical solution for organizations seeking to harness the benefits of cloud storage without compromising on data privacy and integrity. In conclusion, this research contributes to the evolving landscape of secure cloud data management by presenting a comprehensive approach to keyword search over dynamic encrypted data with the added layer of symmetric-key-based verification. As cloud services continue to play a pivotal role in data storage and retrieval, this work serves as a valuable step towards ensuring data security and accessibility in the cloud.
Keywords: Cloud service provider, Dynamic nature , Cost-efficiency
Cite Article: "Towards Achieving Keyword Search over Dynamic Encrypted Cloud Data with Symmetric-Key Based Verification", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.c717-c728, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310278.pdf
Downloads: 000118753
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2310278
Registration ID: 207230
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: c717-c728
Country: Chennai, TamilNadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310278
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310278
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD