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For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...Pvrtechnologies Nellore
This document proposes a secure multi-keyword ranked search scheme over encrypted cloud data that allows for dynamic operations like deletion and insertion of documents. It constructs a special tree-based index structure and uses a "Greedy Depth-first Search" algorithm to provide efficient search. The scheme utilizes a secure kNN algorithm to encrypt index and query vectors while still allowing accurate relevance scoring between encrypted vectors. It aims to achieve sub-linear search time and flexible handling of document updates.Privacy preserving multi-keyword ranked search over encrypted cloud data
This is shakas technologies,
It will provide projects contact as shakas technologies,
Mobile: 9500218218 phone: 0416-6066663
A secure and dynamic multi keyword ranked
Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Nagar, Chennai-83. Landmark: Next to Kotak Mahendra Bank/Bharath Scans
Landline: (044) - 43012642 / Mobile: (0)9952649690
Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry - 9
Landmark: Opp. to Thattanchavady Industrial Estate & Next to VVP Nagar Arch.
Landline: (0413) - 4300535 / Mobile: (0)8608600246 / (0)9952649690
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
Privacy preserving multi-keyword ranked search over encrypted cloud data
The document proposes a solution called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE) that allows searching encrypted data stored in the cloud using multiple keywords. It establishes privacy requirements for such a system and uses an efficient "coordinate matching" similarity measure to determine relevance between search queries and documents. It first presents a basic MRSE scheme based on secure inner product computation, then improves upon it with two schemes that achieve different privacy levels while introducing low overhead on computation and communication as shown by experiments on real-world datasets.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search
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.
Recommended
Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...Pvrtechnologies Nellore
This document proposes a secure multi-keyword ranked search scheme over encrypted cloud data that allows for dynamic operations like deletion and insertion of documents. It constructs a special tree-based index structure and uses a "Greedy Depth-first Search" algorithm to provide efficient search. The scheme utilizes a secure kNN algorithm to encrypt index and query vectors while still allowing accurate relevance scoring between encrypted vectors. It aims to achieve sub-linear search time and flexible handling of document updates.Privacy preserving multi-keyword ranked search over encrypted cloud data
This is shakas technologies,
It will provide projects contact as shakas technologies,
Mobile: 9500218218 phone: 0416-6066663
A secure and dynamic multi keyword ranked
Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Nagar, Chennai-83. Landmark: Next to Kotak Mahendra Bank/Bharath Scans
Landline: (044) - 43012642 / Mobile: (0)9952649690
Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry - 9
Landmark: Opp. to Thattanchavady Industrial Estate & Next to VVP Nagar Arch.
Landline: (0413) - 4300535 / Mobile: (0)8608600246 / (0)9952649690
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
Privacy preserving multi-keyword ranked search over encrypted cloud data
The document proposes a solution called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE) that allows searching encrypted data stored in the cloud using multiple keywords. It establishes privacy requirements for such a system and uses an efficient "coordinate matching" similarity measure to determine relevance between search queries and documents. It first presents a basic MRSE scheme based on secure inner product computation, then improves upon it with two schemes that achieve different privacy levels while introducing low overhead on computation and communication as shown by experiments on real-world datasets.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search
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.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
We are the company providing Complete Solution for all Academic Final Year/Semester Student Projects. Our projects are suitable for B.E (CSE,IT,ECE,EEE), B.Tech (CSE,IT,ECE,EEE),M.Tech (CSE,IT,ECE,EEE) B.sc (IT & CSE), M.sc (IT & CSE), MCA, and many more..... We are specialized on Java,Dot Net ,PHP & Andirod technologies. Each Project listed comes with the following deliverable: 1. Project Abstract 2. Complete functional code 3. Complete Project report with diagrams 4. Database 5. Screen-shots 6. Video File
SERVICE AT CLOUDTECHNOLOGIES
IEEE, WEB, WINDOWS PROJECTS ON DOT NET, JAVA& ANDROID TECHNOLOGIES,EMBEDDED SYSTEMS,MAT LAB,VLSI DESIGN.
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COLLEGE TRAINING
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cloudtechnologies
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Maitrivanam, Ameerpet.
Contact:-8121953811,8522991105.040-65511811
cloudtechnologiesprojects@gmail.com
http://cloudstechnologies.in/
Fuzzy Keyword Search Over Encrypted Data in Cloud Computing
As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective data utilization a very challenging task. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. This significant drawback makes existing techniques unsuitable in cloud computing as it is greatly affect system usability, rendering user searching experiences very frustrating and system efficiency very low. In this paper, for the first time we formalize and solve the problem of effective fuzzy keyword search over encrypted cloud while maintaining keyword privacy. In our solution, we exploit edit distance to quantify keyword similarity and develop new advanced technique on constructing fuzzy keyword sets which greatly reduces the storage and representation overheads. In this way, we show that our proposed solution is secure and privacy preserving, while realizing the goal of fuzzy keyword search.
Enabling secure and efficient ranked keyword
This document proposes a system for enabling secure and efficient ranked keyword search over outsourced cloud data. It summarizes that existing searchable encryption techniques only support basic Boolean search and do not consider relevance ranking. The proposed system explores using relevance scores from information retrieval to build a searchable index and develops a one-to-many order-preserving mapping technique to protect sensitive score information, allowing efficient server-side ranking without compromising keyword privacy. The system provides ranked search results while maintaining strong security guarantees.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
Privacy preservingmulti-keywordrankedsearchoverencryptedclouddata-14090213203...
This document proposes a scheme called PRMSM that enables privacy-preserving ranked multi-keyword search on encrypted cloud data from multiple data owners. It constructs a secure search protocol that allows cloud servers to perform searches without knowing the actual data or trapdoors. It also proposes a novel function to preserve the privacy of relevance scores between keywords and files during ranking. The scheme supports dynamic key generation, user authentication, and efficient user revocation to enhance security. Experiments show the efficacy and efficiency of PRMSM.
Privacy preserving multi-keyword ranked search over encrypted cloud data
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows a user to search for multiple keywords and returns documents ranked by relevance. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to quantify document similarity based on keyword matches. The system architecture includes modules for data owners to encrypt and upload files, for users to search and download encrypted files, and for ranking search results.
Privacy preserving multi-keyword ranked search over encrypted cloud data 2
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Privacy preserving multi-keyword ranked search over encrypted cloud data
IGeekS Technologies (Make Final Year Project)
No: 19, MN Complex, 2nd Cross,
Sampige Main Road, Malleswaram
Bangalore- 560003.
Phone No: 080-32487434 /9590544567 / 9739066172
Mail: nandu@igeekstechnologies.com , nanduigeeks2010@gmail.com
Land mark : Near to Mantri Mall, Malleswaram Bangalore
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
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Cell: 9500218218
Mobile: 0416-2247353 / 6066663
Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
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Mobile: 9751442511,9791938249
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ENABLING EFFICIENT MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED MOBILE CLOUD D...
I3E Technologies,
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Opp. Bus Stand, Karur-639 001.
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privacy preserving multi keyword ranked search over encrypted cloud data
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
This document summarizes a research paper that proposes a new efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The key contributions are:
1) It introduces a relevance score to the searchable encryption scheme to enable multi-keyword ranked search over encrypted documents. It also constructs an efficient index to improve search efficiency.
2) It modifies the blind storage system to solve the trapdoor unlinkability problem and conceal the search user's access pattern from the cloud server.
3) It provides security analysis showing the EMRS can achieve confidentiality of documents/index, trapdoor privacy, unlinkability, and conceal access patterns while experiments show it improves efficiency over existing proposals.
Final 1st
The document proposes a system for multi-keyword ranked search over encrypted cloud data while preserving privacy. It addresses limitations in previous systems that allowed single keyword search or did not consider privacy. The proposed system uses asymmetric key encryption, a block-max index, and dynamic key generation to allow efficient retrieval of relevant encrypted data from the cloud without security breaches. It involves three parts: (1) a server that encrypts and stores data in the cloud and sends decryption keys; (2) a cloud server that handles search requests, ranks results, and responds; and (3) users that request data from the cloud server.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...Pvrtechnologies Nellore
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storageAN EFFICIENT AND FINE-GRAINED BIG DATA ACCESSCONTROL SCHEME WITH PRIVACY-PRES...
1) The document proposes an efficient and fine-grained big data access control scheme that hides the entire attribute in an access policy rather than just the attribute values, to better preserve privacy.
2) It designs a novel Attribute Bloom Filter to evaluate if an attribute is in the access policy and locate its position, to help enable decryption while hiding attributes.
3) Analysis shows the scheme can hide attributes in any linear secret sharing scheme access policy without significantly impacting performance or security.
A secure and dynamic multi
Shakas Technologies provide IEEE projects, Non-IEEE projects, Final year student projects,Mini projects are available Contact: 9500218218
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data M-Tech IEEE 2017 Projects B-Tech IEEE 2017 Projects Paper Publishing UGC Journals
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1) The document proposes an optimized and secured semantic-based ranking approach for keyword search over encrypted cloud data. It aims to improve search accuracy by considering keyword semantics and different keyword forms.
2) An index is created from unencrypted files containing keyword-file mappings and encrypted relevance scores. Files are encrypted before outsourcing to the cloud.
3) The approach analyzes semantics between keywords, performs stemming, and calculates relevance scores. It encrypts the index and files before outsourcing to the cloud to protect data privacy during searches.
iaetsd Preserving private multi keyword searching with ranking by anonymous i...
This document discusses privacy-preserving multi-keyword ranked search over encrypted cloud data. It proposes assigning anonymous IDs to cloud users to hide their identities from the cloud service provider and better protect sensitive data on the cloud. The system allows data owners to encrypt and outsource data to the cloud for storage. It then builds a searchable index to allow authorized users to search for keywords without learning the content. The cloud server ranks search results based on relevance but hides information about important documents. Previous works focused on search and privacy but revealed user identities. The proposed system addresses this by anonymizing user IDs to maintain privacy under two threat models.
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A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
We are the company providing Complete Solution for all Academic Final Year/Semester Student Projects. Our projects are suitable for B.E (CSE,IT,ECE,EEE), B.Tech (CSE,IT,ECE,EEE),M.Tech (CSE,IT,ECE,EEE) B.sc (IT & CSE), M.sc (IT & CSE), MCA, and many more..... We are specialized on Java,Dot Net ,PHP & Andirod technologies. Each Project listed comes with the following deliverable: 1. Project Abstract 2. Complete functional code 3. Complete Project report with diagrams 4. Database 5. Screen-shots 6. Video File
SERVICE AT CLOUDTECHNOLOGIES
IEEE, WEB, WINDOWS PROJECTS ON DOT NET, JAVA& ANDROID TECHNOLOGIES,EMBEDDED SYSTEMS,MAT LAB,VLSI DESIGN.
ME, M-TECH PAPER PUBLISHING
COLLEGE TRAINING
Thanks&Regards
cloudtechnologies
# 304, Siri Towers,Behind Prime Hospitals
Maitrivanam, Ameerpet.
Contact:-8121953811,8522991105.040-65511811
cloudtechnologiesprojects@gmail.com
http://cloudstechnologies.in/
Fuzzy Keyword Search Over Encrypted Data in Cloud Computing
As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective data utilization a very challenging task. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. This significant drawback makes existing techniques unsuitable in cloud computing as it is greatly affect system usability, rendering user searching experiences very frustrating and system efficiency very low. In this paper, for the first time we formalize and solve the problem of effective fuzzy keyword search over encrypted cloud while maintaining keyword privacy. In our solution, we exploit edit distance to quantify keyword similarity and develop new advanced technique on constructing fuzzy keyword sets which greatly reduces the storage and representation overheads. In this way, we show that our proposed solution is secure and privacy preserving, while realizing the goal of fuzzy keyword search.
Enabling secure and efficient ranked keyword
This document proposes a system for enabling secure and efficient ranked keyword search over outsourced cloud data. It summarizes that existing searchable encryption techniques only support basic Boolean search and do not consider relevance ranking. The proposed system explores using relevance scores from information retrieval to build a searchable index and develops a one-to-many order-preserving mapping technique to protect sensitive score information, allowing efficient server-side ranking without compromising keyword privacy. The system provides ranked search results while maintaining strong security guarantees.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
Privacy preservingmulti-keywordrankedsearchoverencryptedclouddata-14090213203...
This document proposes a scheme called PRMSM that enables privacy-preserving ranked multi-keyword search on encrypted cloud data from multiple data owners. It constructs a secure search protocol that allows cloud servers to perform searches without knowing the actual data or trapdoors. It also proposes a novel function to preserve the privacy of relevance scores between keywords and files during ranking. The scheme supports dynamic key generation, user authentication, and efficient user revocation to enhance security. Experiments show the efficacy and efficiency of PRMSM.
Privacy preserving multi-keyword ranked search over encrypted cloud data
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows a user to search for multiple keywords and returns documents ranked by relevance. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to quantify document similarity based on keyword matches. The system architecture includes modules for data owners to encrypt and upload files, for users to search and download encrypted files, and for ranking search results.
Privacy preserving multi-keyword ranked search over encrypted cloud data 2
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Privacy preserving multi-keyword ranked search over encrypted cloud data
IGeekS Technologies (Make Final Year Project)
No: 19, MN Complex, 2nd Cross,
Sampige Main Road, Malleswaram
Bangalore- 560003.
Phone No: 080-32487434 /9590544567 / 9739066172
Mail: nandu@igeekstechnologies.com , nanduigeeks2010@gmail.com
Land mark : Near to Mantri Mall, Malleswaram Bangalore
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
Shakas Technologies Provides, 2016-2017 Project titles, Real time project titles, IEEE Project Titles 2016-2017, NON-IEEE Project Titles, Latest project titles 2016, MCA Project titles, Final Year Project titles 2016-2017..
Contact As:
Shakas Technologies
#13/19, 1st Floor, Municipal Colony,
Kangeyanellore Road, Gandhi Nagar,
Vellore-632006,
Cell: 9500218218
Mobile: 0416-2247353 / 6066663
Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
ENABLING EFFICIENT MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED MOBILE CLOUD D...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3etechnologies.com, www.i3eprojects.com
privacy preserving multi keyword ranked search over encrypted cloud data
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
This document summarizes a research paper that proposes a new efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The key contributions are:
1) It introduces a relevance score to the searchable encryption scheme to enable multi-keyword ranked search over encrypted documents. It also constructs an efficient index to improve search efficiency.
2) It modifies the blind storage system to solve the trapdoor unlinkability problem and conceal the search user's access pattern from the cloud server.
3) It provides security analysis showing the EMRS can achieve confidentiality of documents/index, trapdoor privacy, unlinkability, and conceal access patterns while experiments show it improves efficiency over existing proposals.
Final 1st
The document proposes a system for multi-keyword ranked search over encrypted cloud data while preserving privacy. It addresses limitations in previous systems that allowed single keyword search or did not consider privacy. The proposed system uses asymmetric key encryption, a block-max index, and dynamic key generation to allow efficient retrieval of relevant encrypted data from the cloud without security breaches. It involves three parts: (1) a server that encrypts and stores data in the cloud and sends decryption keys; (2) a cloud server that handles search requests, ranks results, and responds; and (3) users that request data from the cloud server.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...Pvrtechnologies Nellore
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storageAN EFFICIENT AND FINE-GRAINED BIG DATA ACCESSCONTROL SCHEME WITH PRIVACY-PRES...
1) The document proposes an efficient and fine-grained big data access control scheme that hides the entire attribute in an access policy rather than just the attribute values, to better preserve privacy.
2) It designs a novel Attribute Bloom Filter to evaluate if an attribute is in the access policy and locate its position, to help enable decryption while hiding attributes.
3) Analysis shows the scheme can hide attributes in any linear secret sharing scheme access policy without significantly impacting performance or security.
A secure and dynamic multi
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Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data M-Tech IEEE 2017 Projects B-Tech IEEE 2017 Projects Paper Publishing UGC Journals
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A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
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Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...
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Privacy preservingmulti-keywordrankedsearchoverencryptedclouddata-14090213203...
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data 2
Privacy preserving multi-keyword ranked search over encrypted cloud data 2
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
ENABLING EFFICIENT MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED MOBILE CLOUD D...
ENABLING EFFICIENT MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED MOBILE CLOUD D...
privacy preserving multi keyword ranked search over encrypted cloud data
privacy preserving multi keyword ranked search over encrypted cloud data
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
AN EFFICIENT AND FINE-GRAINED BIG DATA ACCESSCONTROL SCHEME WITH PRIVACY-PRES...
AN EFFICIENT AND FINE-GRAINED BIG DATA ACCESSCONTROL SCHEME WITH PRIVACY-PRES...
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Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
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J017547478
1) The document proposes an optimized and secured semantic-based ranking approach for keyword search over encrypted cloud data. It aims to improve search accuracy by considering keyword semantics and different keyword forms.
2) An index is created from unencrypted files containing keyword-file mappings and encrypted relevance scores. Files are encrypted before outsourcing to the cloud.
3) The approach analyzes semantics between keywords, performs stemming, and calculates relevance scores. It encrypts the index and files before outsourcing to the cloud to protect data privacy during searches.
iaetsd Preserving private multi keyword searching with ranking by anonymous i...
This document discusses privacy-preserving multi-keyword ranked search over encrypted cloud data. It proposes assigning anonymous IDs to cloud users to hide their identities from the cloud service provider and better protect sensitive data on the cloud. The system allows data owners to encrypt and outsource data to the cloud for storage. It then builds a searchable index to allow authorized users to search for keywords without learning the content. The cloud server ranks search results based on relevance but hides information about important documents. Previous works focused on search and privacy but revealed user identities. The proposed system addresses this by anonymizing user IDs to maintain privacy under two threat models.
Enabling fine grained multi-keyword search supporting classified sub-dictiona...
This document proposes a scheme for enabling fine-grained multi-keyword search over encrypted cloud data. It introduces relevance scores and preference factors for keywords to improve search functionality and user experience. The scheme supports complex logic searches using mixed "AND", "OR", and "NO" keyword operations. It also employs classified sub-dictionaries to improve index building, trapdoor generation, and query efficiency. The scheme aims to address limitations of existing systems in supporting personalized search with comprehensive logic operations over encrypted data.
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Fuzzy keyword search over
This document describes a proposed system for enabling effective yet privacy-preserving fuzzy keyword search in cloud computing. It formalizes the problem of fuzzy keyword search over encrypted cloud data for the first time. The system uses edit distance to quantify keyword similarity and develops two techniques - wildcard-based and gram-based - to construct efficient fuzzy keyword sets. It then proposes a symbol-based trie-traverse searching scheme to match keywords and retrieve files. Security analysis shows the solution preserves privacy while allowing fuzzy searches.
Ieeepro techno solutions ieee dotnet project - privacy-preserving multi-keyw...
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Ieeepro techno solutions ieee java project - privacy-preserving multi-keywor...
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Ieeepro techno solutions ieee dotnet project - privacy-preserving multi-keyw...
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A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
This document proposes a secure multi-keyword ranked search scheme over encrypted cloud data that allows for dynamic operations like document deletion and insertion. It constructs a special tree-based index structure and uses a "Greedy Depth-first Search" algorithm to provide efficient search. The vector space model and TF-IDF model are used to construct indexes and queries. The scheme aims to achieve sub-linear search time while supporting dynamic document operations and ranking search results based on relevance.
Privacy preserving multi-keyword ranked search over encrypted cloud data
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows multi-keyword searches over encrypted cloud data and ranks the results based on relevance to the search keywords. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to capture document relevance. The system architecture includes modules for data users, owners, file upload/download and rank search over encrypted data.
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...
This document presents a proposed system called K-Gram based Composite Secret Sign Search over Encrypted Cloud Information. The system aims to provide a qualified search scheme for cloud storage data using multi-keyword search. It uses fuzzy keyword sets to account for spelling errors when searching encrypted file names in the cloud server. If a search keyword matches, related fuzzy keywords are used to search file lists. Experimental results demonstrate that the proposed solution can greatly boost privacy protection, scalability and query processing time efficiency over existing methods. The system considers keyword frequency when ranking search results to better protect user data privacy. It consists of modules for user login, file upload, frequent keyword search, similarity search, linear search, email alerts and file downloading.
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic Scheme
This document proposes a semantic-based compound keyword search (SCKS) scheme for encrypted cloud data. SCKS aims to address limitations of existing approaches by enabling semantic-based, multi-keyword and ranked searches without relying on a predefined global dictionary. It introduces a compound concept semantic similarity calculation method and combines it with Locality-Sensitive Hashing and a secure k-Nearest Neighbor scheme to map keyword vectors to indexes while considering frequency. Experimental results on real-world datasets show SCKS has low computation overhead and higher search accuracy than existing schemes.
privacy-preserving multi-keyword ranked search
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Efficient and Empiric Keyword Search Using Cloud
This document discusses efficient and empirical keyword search using cloud computing. It proposes a secure and reliable keyword search scheme across multiple clouds that allows users to search for files privately and reliably. The proposed system uses an iterative encryption approach to ensure file privacy even if multiple cloud servers collude. It implements a bloom filter tree index structure and integrity verification algorithm to securely search encrypted files across clouds and detect malicious servers. The system aims to provide an efficient and secure solution for keyword search on outsourced encrypted data stored in multiple cloud servers.
IRJET- Privacy Preserving Keyword Search over Cloud Data
The document proposes a scheme for secure ranked keyword search over encrypted cloud data. It discusses encrypting data before outsourcing it to the cloud for confidentiality. An index of keyword sets is stored on a local trusted server, while encrypted data files are stored on an untrusted cloud server. When a user searches for keywords, relevant files are ranked based on criteria like term frequency and file length. The top results are then retrieved from the cloud without revealing sensitive information to unauthorized parties. The system aims to enable efficient yet private keyword searches on large amounts of outsourced encrypted data.
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTIONA...
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Multi-Keyword Ranked Search in Encrypted Cloud Storage
This document proposes and discusses a system for multi-keyword ranked search over encrypted cloud data while preserving security and privacy. It aims to allow authorized users to securely search for and retrieve relevant encrypted documents from the cloud based on multiple search keywords. The system considers three entities: data owners who can upload and encrypt documents to the cloud, data users who can search and retrieve documents, and a cloud server that stores and searches the encrypted documents. The document outlines the problem addressed, related work, the proposed solution, system overview and implementation details. It proposes using an "inner product similarity" measure called "coordinate matching" to evaluate relevance and rank search results for multi-keyword queries over encrypted cloud data.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud data
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IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
The document summarizes a proposed system for multi-keyword search over encrypted data in cloud computing. It aims to retrieve the top k most relevant documents matching a user's query while preserving data privacy. The system uses Lucene indexing to build an index of keywords extracted from outsourced documents. When documents are added or removed, the index is updated. A top-k query technique ranks document relevance and returns the top matching results. Encryption is done using the Blowfish algorithm before documents are outsourced to the untrusted cloud server. This allows efficient search over the encrypted data based on keyword queries.
IRJET - Efficient and Verifiable Queries over Encrypted Data in Cloud
This document proposes a scheme for efficient and verifiable queries over encrypted data stored in the cloud. It aims to allow an authorized user to query encrypted documents of interest while maintaining privacy. The scheme provides a verification mechanism to allow users to check the correctness of query results and identify any valid results omitted by a potentially untrustworthy cloud server. The document reviews related work on searchable encryption and verifiable queries. It then outlines the proposed approach to build secure verifiable queries for encrypted cloud data.
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iaetsd Preserving private multi keyword searching with ranking by anonymous i...
iaetsd Preserving private multi keyword searching with ranking by anonymous i...
Enabling fine grained multi-keyword search supporting classified sub-dictiona...
Enabling fine grained multi-keyword search supporting classified sub-dictiona...
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Fuzzy keyword search over
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Fuzzy keyword search over
Ieeepro techno solutions ieee dotnet project - privacy-preserving multi-keyw...
Ieeepro techno solutions ieee dotnet project - privacy-preserving multi-keyw...
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Ieeepro techno solutions ieee java project - privacy-preserving multi-keywor...
Ieeepro techno solutions ieee dotnet project - privacy-preserving multi-keyw...
Ieeepro techno solutions ieee dotnet project - privacy-preserving multi-keyw...
2014 IEEE DOTNET CLOUD COMPUTING PROJECT Fuzzy keyword search over
2014 IEEE DOTNET CLOUD COMPUTING PROJECT Fuzzy keyword search over
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic Scheme
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic Scheme
IRJET- Privacy Preserving Keyword Search over Cloud Data
IRJET- Privacy Preserving Keyword Search over Cloud Data
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTIONA...
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTIONA...
Multi-Keyword Ranked Search in Encrypted Cloud Storage
Multi-Keyword Ranked Search in Encrypted Cloud Storage
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...
IRJET - Efficient and Verifiable Queries over Encrypted Data in Cloud
IRJET - Efficient and Verifiable Queries over Encrypted Data in Cloud
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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
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This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
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25
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
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Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
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This document discusses preventing private information inference attacks on social networks. It explores how released social networking data could be used to predict undisclosed private information about individuals, such as their political affiliation or sexual orientation. It then describes three sanitization techniques that could be used to decrease the effectiveness of such attacks. An experiment is conducted applying these techniques to a Facebook dataset to attempt to discover sensitive attributes through collective inference and show that the sanitization methods decrease the effectiveness of local and relational classification algorithms.
16
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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
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15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
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2nd Floor,
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N.RAJASEKARAN B.E M.S 9841091117,9840103301.
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Old No 251, New No 304,
2nd Floor,
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www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
13
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
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www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
12
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
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Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
11
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
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IMPULSE TECHNOLOGIES,
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- 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Enabling Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data Abstract— Cloud computing economically enables the paradigm of data service outsourcing. However, to protect data privacy, sensitive cloud data have to be encrypted before outsourced to the commercial public cloud, which makes effective data utilization service a very challenging task. Although traditional searchable encryption techniques allow users to securely search over encrypted data through keywords, they support only Boolean search and are not yet sufficient to meet the effective data utilization need that is inherently demanded by large number of users and huge amount of data files in cloud. In this paper, we define and solve the problem of secure ranked keyword search over encrypted cloud data. Ranked search greatly enhances system usability by enabling search result relevance ranking instead of sending undifferentiated results, and further ensures the file retrieval accuracy. Specifically, we explore the statistical measure approach, i.e., relevance score, from information retrieval to build a secure searchable index, and develop a one- to-many order-preserving mapping technique to properly protect those sensitive score information. The resulting design is able to facilitate efficient server-side ranking without losing keyword privacy. Thorough analysis shows that our proposed solution enjoys “asstrong- as-possible” security guarantee compared to previous searchable encryption schemes, while correctly realizing the goal of ranked keyword search. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1