Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search
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The document presents a project on developing an "accurate and efficient dynamic multi-keyword ranked search scheme". It aims to address issues with searching encrypted data outsourced to the cloud. The proposed system uses a tree-based index structure and "Greedy Depth-first Search" algorithm to improve search efficiency. It also utilizes TF-IDF scores to rank documents by relevance to search terms. The project aims to provide a searchable encryption scheme that supports accurate, efficient multi-keyword searches and dynamic operations on document collections.
![LITERATURE SURVEY
Sr.
No.
Reference Name
(IEEE/ACM/Spring
er/Any other
journal, etc. Paper
Title)
Work description Problems found Publication
year
1 K. Ren, C.Wang, Q.Wang et
al., “Security challenges for
the public cloud,” IEEE
Internet Computing, vol. 16,
no. 1, pp. 69–73, 2012. [2]
This article is intended as a call
for action to motivate further
investigation of the many
challenging security issues
that will impact the public
cloud’s future.
The existing system outline
several critical security
challenges .
2012
2 D. Boneh, G. Di Crescenzo, R.
Ostrovsky, and G. Persiano,
“Public
key encryption with keyword
search,” in Advances in
Cryptology-
Eurocrypt 2004. Springer,
2004, pp. 506–522. [3]
This paper constructs an efficient
system.
The problem of searching
on data that is encrypted
using a public key system.
2004](https://image.slidesharecdn.com/presentation-161028113509/85/Accurate-and-Efficient-Secured-Dynamic-Multi-keyword-Ranked-Search-5-320.jpg)
![LITERATURE SURVEY
Sr.
No.
Reference Name
(IEEE/ACM/Springe
r/Any other journal,
etc. Paper Title)
Work description Problems found Publication
year
3 Jia Zhao, Kun Yang,“A Heuristic
Clustering-Based Task
Deployment Approach for
Load Balancing Using Bayes
Theorem in Cloud
Environment”, 2016, pp. 50–
67. [4]
The proposed approach has
reduced the failure number of
task deployment events
obviously, improved the
throughput, and optimized the
external services performance
of cloud data centers.
Doesn’t guarantee high
execution efficiency.
2016
4 D. X. Song, D. Wagner, and A.
Perrig, “Practical techniques
for searches on encrypted
data,” in Security and Privacy,
2000. S&P 2000. Proceedings.
2000 IEEE Symposium on.
IEEE, 2000, pp. 44–55. [5]
This paper proposes
cryptographic schemes for the
problem of searching on
encrypted data and provide
proofs of security for the
resulting crypto systems.
The problem of searching
on data that is encrypted
using a public key system.
2000](https://image.slidesharecdn.com/presentation-161028113509/85/Accurate-and-Efficient-Secured-Dynamic-Multi-keyword-Ranked-Search-6-320.jpg)
Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search
- 1. Amrutvahini College Of Engineering, Sangamner Department Of Information Technology “ACCURATE AND EFFICIENT DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME” A PRESENTATION ON Group Members: Mr. Swain Dakshineshwar S. Mr. Chabukswar Akash J. Mr. Tayade Avinash T. Mr. Shermale Sachin S. Guided By: Mr. R.N. Devikar
- 2. PROBLEM STATEMENT • Accurate and Efficient Dynamic Multi-Keyword Ranked Search Scheme. • How to achieve accurate result? • How do we make our search scheme efficient?
- 3. ABSTRACT • With the development of cloud computing, the sensitive information of outsourced data is at risk of unauthorized accesses. • To protect data privacy, the sensitive data should be encrypted by the data owner before outsourcing, which makes the traditional and efficient plaintext keyword search technique useless. Hence, it is an especially important thing to explore secure encrypted cloud data search service. • We introduce a practically efficient and flexible searchable encrypted scheme which supports multi-keyword ranked search.
- 4. INTRODUCTION • Cloud Computing is a new but increasingly mature model of enterprise IT infrastructure that provides on-demand high quality applications and services from a shared pool of configuration computing resources. • Unauthorized operation on the outsourced data may exist on account of curiosity or profit. • To protect the privacy of sensitive information, sensitive data (e.g., emails, photo albums, personal health records, financial records, etc.) should be encrypted by the data owner before outsourcing. • We intoduce a practically efficient and flexible searchable encrypted scheme.
- 5. LITERATURE SURVEY Sr. No. Reference Name (IEEE/ACM/Spring er/Any other journal, etc. Paper Title) Work description Problems found Publication year 1 K. Ren, C.Wang, Q.Wang et al., “Security challenges for the public cloud,” IEEE Internet Computing, vol. 16, no. 1, pp. 69–73, 2012. [2] This article is intended as a call for action to motivate further investigation of the many challenging security issues that will impact the public cloud’s future. The existing system outline several critical security challenges . 2012 2 D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Advances in Cryptology- Eurocrypt 2004. Springer, 2004, pp. 506–522. [3] This paper constructs an efficient system. The problem of searching on data that is encrypted using a public key system. 2004
- 6. LITERATURE SURVEY Sr. No. Reference Name (IEEE/ACM/Springe r/Any other journal, etc. Paper Title) Work description Problems found Publication year 3 Jia Zhao, Kun Yang,“A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment”, 2016, pp. 50– 67. [4] The proposed approach has reduced the failure number of task deployment events obviously, improved the throughput, and optimized the external services performance of cloud data centers. Doesn’t guarantee high execution efficiency. 2016 4 D. X. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” in Security and Privacy, 2000. S&P 2000. Proceedings. 2000 IEEE Symposium on. IEEE, 2000, pp. 44–55. [5] This paper proposes cryptographic schemes for the problem of searching on encrypted data and provide proofs of security for the resulting crypto systems. The problem of searching on data that is encrypted using a public key system. 2000
- 7. Methodology
- 8. Modules Splits-up • Cloud Module • User Module • Data Owner Module • Registration Module
- 9. Design/Algorithm Login Valid User Get Information Condition Sign Up Yes False AdminUser Add File Add Details Search Begin End Add informaiton Add Source Data Base
- 10. Proposed System • A secure tree-based search scheme over the encrypted cloud data, which supports multi-keyword ranked search and dynamic operation on the document collection. • To address multi-keyword search and result ranking, we use Vector Space Model (VSM) to build document index. • To improve search efficiency, we construct a tree-based index structure based on the document index vectors and propose a “Greedy Depth-first Search” algorithm based on this index tree. • To rank the documents, we will be using TF-IDF scores. • Our encryption scheme will meet the privacy requirements.
- 11. Software Tools/Technology • Operating system : Windows 8.1 • Coding Language : JAVA/J2EE • Databases : DriveHQ, MySql • Server : Tomcat • IDE : Eclipse Mars
- 12. Proposed Outcomes • User will be able to use our searchable encryption scheme that supports accurate and efficient multi-keyword ranked search . • They will be able to perform dynamic operation on document collection. • They will be able to retrieve their documents within a fraction of seconds with accurate results.
- 13. REFERENCES 1) Zhihua Xia, Member, IEEE, Xinhui Wang, Xingming Sun, Senior Member, IEEE, and Qian Wang, Member, IEEE, “A Secure and Dynamic Multi- keyword Ranked Search Scheme over Encrypted Cloud Data”, IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2015. 2) K. Ren, C.Wang, Q.Wang et al., “Security challenges for the public cloud,” IEEE Internet Computing, vol. 16, no. 1, pp. 69–73, 2012. 3) D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Advances in Cryptology-Eurocrypt 2004. Springer, 2004, pp. 506–522. 4) Jia Zhao, Kun Yang,“A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment”, 2016, pp. 50–67. 5) D. X. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” in Security and Privacy, 2000. S&P 2000. Proceedings. 2000 IEEE Symposium on. IEEE, 2000, pp. 44–55.
- 14. THANK YOU