Java
Cloud Computing
2016
ID: 1CP0674
A Survey on Keyword Based Search Mechanism for Data Stored in Cloud
Keywords:
Keyword
Search,
Cloud
Computing,
Searchable
Encryption,
Multi-Keyword
Search,
Ranked
Search,
Data
Privacy,
Cloud
Storage
Security,
Survey
Project Synopsis & Overview
This project presents a survey of keyword-based search mechanisms for data stored in the cloud. It reviews existing techniques such as single-keyword, multi-keyword, fuzzy, and ranked search over outsourced data, comparing their efficiency, accuracy, privacy, and security. The study highlights limitations, open challenges, and future research directions to help researchers and users retrieve relevant cloud-stored data quickly, efficiently, and securely.
Complete Technical Specifications
| Project ID | 1CP0674 (DB ID: 674) |
| Project Title | A Survey on Keyword Based Search Mechanism for Data Stored in Cloud |
| Domain Division | Java |
| Sub-Domain / Tech | Cloud Computing |
| IEEE Year | 2016 |
| Package Price | ₹6500 |
| Created Date | Oct 31, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
Buy Full Project Now (₹6500)
Add Full Project to Cart
Add PPT Presentation Only (₹500)
Instant WhatsApp Enquiry
Need Help or Customization?
Call or WhatsApp our technical lead directly at +91 79043 20834
Related Java Projects
Java
2018
A Scalable Approach for Content-Based Image Retrieval in Peer-to-Peer Networks
Content-Based
Image
Retrieval,
Peer-to-Peer
Network,
Java
Swing,
MySQL,
Image
Sharing,
Distributed
Storage,
Scalability,
Client-Server
Java
2019
ID2S Password Authenticated Key Exchange Protocols
Password
Authentication,
Key
Exchange,
ID-Based
Cryptography,
Security
Protocols,
Mutual
Authentication
Java
2022
FRoDO Fraud Resilient Device for Off Line Micro Payments
Micro-Payments,
Fraud
Detection,
Secure
Transactions,
Offline
Payment,
Device
Security
Java
2019
Tell Me What You Eat and I Will Tell You Where You Come From A Data Science Approach for Global Recipe Data on the Web
Data
Science,
Recipe
Analysis,
Cultural
Prediction,
Global
Food
Data,
Pattern
Recognition