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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
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
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.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...CloudTechnologies
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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cloudtechnologies
# 304, Siri Towers,Behind Prime Hospitals
Maitrivanam, Ameerpet.
Contact:-8121953811,8522991105.040-65511811
cloudtechnologiesprojects@gmail.com
http://cloudstechnologies.in/
Privacy preserving multi-keyword ranked search over encrypted cloud dataNexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
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A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...LeMeniz Infotech
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
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
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.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...CloudTechnologies
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/
Privacy preserving multi-keyword ranked search over encrypted cloud dataNexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...LeMeniz Infotech
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
Accurate and Efficient Secured Dynamic Multi-keyword Ranked SearchDakshineshwar Swain
A practically efficient and flexible searchable encrypted scheme which supports multi-keyword ranked search. To support multi-keyword search and result relevance ranking, we adopt Vector Space Model (VSM) to build the searchable index to achieve accurate search result.
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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
Fuzzy Keyword Search Over Encrypted Data in Cloud ComputingIJERA Editor
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 efficient multi keyword ranked search over encrypted mobile cloud da...LeMeniz Infotech
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
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...nexgentechnology
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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
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...heresenthil
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD DATA
ABSTRACT:
Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Specifically, the vector space model and the widely-used TF IDF model are combined in the index construction and query generation. We construct a special tree-based index structure and propose a “Greedy Depth-first Search” algorithm to provide efficient multi-keyword ranked search. The secure kNN algorithm is utilized to encrypt the index and query vectors, and meanwhile ensure accurate relevance score calculation between encrypted index and query vectors. In order to resist statistical attacks, phantom terms are added to the index vector for blinding search results . Due to the use of our special tree-based index structure, the proposed scheme can achieve sub-linear search time and deal with the deletion and insertion of documents flexibly. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Accurate and Efficient Secured Dynamic Multi-keyword Ranked SearchDakshineshwar Swain
A practically efficient and flexible searchable encrypted scheme which supports multi-keyword ranked search. To support multi-keyword search and result relevance ranking, we adopt Vector Space Model (VSM) to build the searchable index to achieve accurate search result.
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
Fuzzy Keyword Search Over Encrypted Data in Cloud ComputingIJERA Editor
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 efficient multi keyword ranked search over encrypted mobile cloud da...LeMeniz Infotech
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
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...nexgentechnology
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
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...heresenthil
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD DATA
ABSTRACT:
Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Specifically, the vector space model and the widely-used TF IDF model are combined in the index construction and query generation. We construct a special tree-based index structure and propose a “Greedy Depth-first Search” algorithm to provide efficient multi-keyword ranked search. The secure kNN algorithm is utilized to encrypt the index and query vectors, and meanwhile ensure accurate relevance score calculation between encrypted index and query vectors. In order to resist statistical attacks, phantom terms are added to the index vector for blinding search results . Due to the use of our special tree-based index structure, the proposed scheme can achieve sub-linear search time and deal with the deletion and insertion of documents flexibly. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...ieeepondy
A secure and dynamic multi keyword ranked search scheme over encrypted cloud data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Secure Multi-Keyword Top-K Retrieval Over Encrypted Cloud Data Using Homomorp...iosrjce
Using Cloud Storage, users can remotely store their data and enjoy on-demand high quality
applications and services. To ensure safety of stored data, it becomes must to encrypt data before storing in the
global space. In cloud data, search arises only with plain data. But it is essential to invoke search with
encrypted data. The specialty of cloud data storage is that it allows copious keywords in a solitary query and
sorts the resultant data documents in relevance order. The proposed multi keyword search based on ranking
over an encrypted cloud data uses feature of similarity and inner product similarity matching. The vector space
model helps to provide sufficient search accuracy and homomorphic encryption enables users to involve in
ranking while majority of computing work is done on server side by operations only on cipher text. Thus in this
method for Top-K retrieval user gets an interested/used link in top. To selectively share documents fine-grained
attribute-based access control policies can be used.
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...IJCI JOURNAL
Cloud computing is an emanating technology allowing
users to perform data processing, use as storage
and data admission services from around the world t
hrough internet. The Cloud service providers charge
depending on the user’s usage. Imposing confidentia
lity and scalability on cloud data increases the
complexity of cloud computing. As sensitive informa
tion is centralized into the cloud, this informatio
n must
be encrypted and uploaded to cloud for the data pri
vacy and efficient data utilization. As the data be
comes
complex and number of users are increasing searchin
g of the files must be allowed through multiple
keyword of the end users interest. The traditional
searchable encryption schemes allows users to searc
h in
the encrypted cloud data through keywords, which su
pport only Boolean search, i.e., whether a keyword
exists in a file or not, without any relevance of d
ata files and the queried keyword. Searching of dat
a in the
cloud using Single keyword ranked search results to
o coarse output and the data privacy is opposed usi
ng
server side ranking based on order-preserving encry
ption (OPE)
Define and solve the problem of effective and secure ranked keyword search over encrypted cloud data.
Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to
certain relevance criteria (e.g., keyword frequency), thus making one step closer towards practical deployment of
privecy- preserving data hosting services in Cloud Computing. To improve the security for the data retrieval from
cloud environment, the One Time Password is used. The One Time Passwod is sent to the user mail to view the
original data. The Model exhibits the Querying Process over the cloud computing infrastructure using Secured and
Encrypted Data access and Ranking over the results would benefit the usre for the getting better results.
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted DataCloudTechnologies
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
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
MECHANICAL PROJECTS IN PONDICHERRY, 2020-21 MECHANICAL PROJECTS IN CHE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
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
MECHANICAL PROJECTS IN PONDICHERRY, 2020-21 MECHANICAL PROJECTS IN CHE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
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
MECHANICAL PROJECTS IN PONDICHERRY, 2020-21 MECHANICAL PROJECTS IN CHE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
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
MECHANICAL PROJECTS IN PONDICHERRY, 2020-21 MECHANICAL PROJECTS IN CHE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
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
MECHANICAL PROJECTS IN PONDICHERRY, 2020-21 MECHANICAL PROJECTS IN CHE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
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
MECHANICAL PROJECTS IN PONDICHERRY, 2020-21 MECHANICAL PROJECTS IN CHE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
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An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD DATA
1. A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH
SCHEME OVER ENCRYPTED CLOUD DATA
Abstract—Due to the increasing popularity of cloud computing, more and more
data owners are motivated to outsource their data to cloud servers for great
convenience and reduced cost in data management. However, sensitive data should
be encrypted before outsourcing for privacy requirements, which obsoletes data
utilization like keyword-based document retrieval. In this paper, we present a
secure multi-keyword ranked search scheme over encrypted cloud data, which
simultaneously supports dynamic update operations like deletion and insertion of
documents. Specifically, the vector space model and the widely-used TF_IDF
model are combined in the index construction and query generation. We construct
a special tree-based index structure and propose a “Greedy Depth-first Search”
algorithm to provide efficient multi-keyword ranked search. The secure kNN
algorithm is utilized to encrypt the index and query vectors, and meanwhile ensure
accurate relevance score calculation between encrypted index and query vectors. In
order to resist statistical attacks, phantom terms are added to the index vector for
blinding search results . Due to the use of our special tree-based index structure,
the proposed scheme can achieve sub-linear search time and deal with the deletion
and insertion of documents flexibly. Extensive experiments are conducted to
demonstrate the efficiency of the proposed scheme.
EXISTING SYSTEM:
2. Searchable encryption schemes enable the clients to store the encrypted data to the
cloud and execute keyword search over ciphertext domain. Due to different
cryptography primitives, searchable encryption schemes can be constructed using
public key based cryptography or symmetric key based cryptography. Song et al.
proposed the first symmetric searchable encryption (SSE) scheme, and the search
time of their scheme is linear to the size of the data collection. Goh proposed
formal security definitions for SSE and designed a scheme based on Bloom filter.
The search time of Goh’s scheme is O (n), where n is the cardinality of the
document collection. Curtmola et al. proposed two schemes (SSE-1 and SSE-2)
which achieve the optimal search time. Their SSE-1 scheme is secure against
chosen-keyword attacks (CKA1) and SSE-2 is secure against adaptive chosen-
keyword attacks (CKA2) schemes, which are very simple in terms of functionality.
Afterward, abundant works have been proposed under different threat models to
achieve various search functionality, such as single keyword search, similarity
search , multi-keyword boolean search , ranked search and multi-keyword ranked
search, etc. Multi-keyword boolean search allows the users to input multiple query
keywords to request suitable documents. Among these works, conjunctive keyword
search schemes only return the documents that contain all of the query keywords.
Disjunctive keyword search schemes return all of the documents that contain a
subset of the query keywords. Predicate search schemes are proposed to support
both conjunctive and disjunctive search. All these multikeyword search schemes
retrieve search results based on the existence of keywords, which cannot provide
acceptable result ranking functionality. Ranked search an enable quick search of
the most relevant data. Sending back only the top-k most relevant documents can
3. effectively decrease network traffic. Some early works have realized the ranked
search using order-preserving techniques, but they are designed only for single
keyword search. Cao et al. realized the first privacy-preserving multi-keyword
ranked search scheme, in which documents and queries are represented as vectors
of dictionary size. With the “coordinate matching”, the documents are ranked
according to the number of matched query keywords. However, Cao et al.’s
scheme does not consider the importance of the different keywords, and thus is not
accurate enough. In addition, the search efficiency of the scheme is linear with the
cardinality of document collection. Sun et al. presented a secure multi-keyword
search scheme that supports similarity-based ranking. The authors constructed a
searchable index tree based on vector space model and adopted cosine measure
together with TF×IDF to provide ranking results
PROPOSED SYSTEM:
Due to the special structure of our tree-based index, the proposed search scheme
can flexibly achieve sub-linear search time and deal with the deletion and insertion
of documents. The secure kNN algorithm is utilized to encrypt the index and query
vectors, and meanwhile ensure accurate relevance score calculation between
encrypted index and query vectors. To resist different attacks in different threat
models, we construct two secure search schemes: the basic dynamic multi-keyword
ranked search (BDMRS) scheme in the known ciphertext model, and the enhanced
dynamic multi-keyword ranked search (EDMRS) scheme in the known
background model. Our contributions are summarized as follows:
4. 1) We design a searchable encryption scheme that supports both the accurate
multi-keyword ranked search and flexible dynamic operation on document
collection.
2) Due to the special structure of our tree-based index, the search complexity of the
proposed scheme is fundamentally kept to logarithmic. And in practice, the
proposed scheme can achieve higher search efficiency by executing our “Greedy
Depth-first Search” algorithm. Moreover, parallel search can be flexibly performed
to further reduce the time cost of search process.
Module 1
The System and Threat Models
The system model in this paper involves three different entities: data owner, data
user and cloud server.
Data owner has a collection of documents F ={f1; f2; :::; fn} that he wants to
outsource to the cloud server in encrypted form while still keeping the capability to
search on them for effective utilization. In our scheme, the data owner firstly builds
a secure searchable tree index I from document collection F, and then generates an
encrypted document collection C for F. Afterwards, the data owner outsources the
encrypted collection C and the secure index I to the cloud server, and securely
distributes the key information of trapdoor generation (including keyword IDF
values) and document decryption to the authorized data users. Besides, the data
owner is responsible for the update
5. operation of his documents stored in the cloud server. While updating, the data
owner generates the update information locally and sends it to the server.
Data users are authorized ones to access the documents of data owner. With t
query keywords, the authorized user can generate a trapdoor TD according to
search control mechanisms to fetch k encrypted documents from cloud server.
Then, the data user can decrypt the documents with the shared secret key.
Cloud server stores the encrypted document collection C and the encrypted
searchable tree index I for data owner. Upon receiving the trapdoor TD from the
data user, the cloud server executes search over the index tree I, and finally returns
the corresponding collection of top-k ranked encrypted documents. Besides, upon
receiving the update information from the data owner, the server needs to update
the index I and document collection C according to the received information. The
cloud server in the proposed scheme is considered as “honest-but-curious”, which
is employed by lots of works on secure cloud data search. Specifically, the cloud
server honestly and correctly executes instructions in the designated protocol.
Meanwhile, it is curious to infer and analyze received data, which helps it acquire
additional information. Depending on what information the cloud server knows,
we adopt the two threat models proposed byCao et al..
Known Ciphertext Model. In this model, the cloud server only knows the
encrypted document collection C, the searchable index tree I, and the search
trapdoor TD submitted by the authorized user. That is to say, the cloud server can
conductciphertext-only attack (COA) in this model.
Known Background Model. Compared with known ciphertext model, the cloud
server in this stronger model is equipped with more knowledge, such as the term
6. frequency (TF) statistics of the document collection. This statistical information
records how many documents are there for each term frequency of a specific
keyword in the whole document collection, as shown in Fig. 2, which could be
used as the keyword identity. Equipped with such statistical information, the cloud
server can conduct TF statistical attack to deduce or even identify certain keywords
through analyzing histogram and value range of the corresponding frequency
distributions.
Module 2
DesignGoals
To enable secure, efficient, accurate and dynamic multikeyword ranked search
over outsourced encrypted cloud data under the above models, our system has the
following design goals.
Dynamic: The proposed scheme is designed to provide not only multi-keyword
query and accurate result ranking, but also dynamic update on document
collections.
Search Efficiency: The scheme aims to achieve sublinear search efficiency by
exploring a special tree-based index and an efficient search algorithm.
Privacy-preserving: The scheme is designed to prevent the cloud server from
learning additional information about the document collection, the index tree, and
the query. The specific privacy requirements are summarized as follows,
7. 1) Index Confidentiality and Query Confidentiality: The underlying plaintext
information, including keywords in the index and query, TF values of keywords
stored in the index, and IDF values of query keywords, should be protected from
cloud server;
2) Trapdoor Unlinkability: The cloud server should not be able to determine
whether two encrypted queries (trapdoors) are generated from the same search
request;
3) Keyword Privacy: The cloud server could not identify the specific keyword in
query, index or document collection by analyzing the statistical information like
term frequency. Note that our proposed scheme is not designed to protect access
pattern, i.e., the sequence of returned documents.
Module 3
SearchProcessofUDMRS Scheme
The search process of the UDMRS scheme is a recursive procedure upon the tree,
named as “Greedy Depthfirst Search (GDFS)” algorithm. We construct a result list
denoted as RList, whose element is defined as ⟨RScore; FID⟩. Here, the RScore is
the relevance score of the document fFID to the query, which is calculated
according to Formula (1). The RList stores the k accessed documents with the
largest relevance scores to the query. The elements of the list are ranked in
descending order according to the RScore, and will be updated timely during the
search process.
8. (2). RScore(Du;Q) – The function to calculate the relevance score for query vector
Q and index vector Du stored in node u.
kthscore – The smallest relevance score in current RList, which is initialized
as 0.
hchild – The child node of a tree node with higher relevance score.
lchild – The child node of a tree node with lower relevance score.
Since the possible largest relevance score of documents rooted by the node u can
be predicted, only a part of the nodes in the tree are accessed during the search
process.
Module 4
BDMRS Scheme
Based on the UDMRS scheme, we construct the basic dynamic multi-keyword
ranked search (BDMRS) scheme by using the secure kNN algorithm. The BDMRS
scheme is designed to achieve the goal of privacypreserving in the known
ciphertext model, and the four algorithms included are described as follows:
• SK ← Setup() Initially, the data owner generates the secret key set SK, including
1) a randomly generated m-bit vector S where m is equal to the cardinality of
dictionary, and 2) two (m×m) invertible matrices M1 and M2. Namely, SK =
{S;M1;M2}.
• I ← GenIndex(F; SK) First, the unencrypted index tree T is built on F by using T
← BuildIndexTree(F). Secondly, the data owner generates two random vectors
9. {Du′;Du′′} for index vectorDu in each node u, according to the secret vector S.
Specifically, if S[i] = 0, Du′[i] and Du′′[i] will be set equal to Du[i]; if S[i] = 1,
Du′[i] and Du′′[i] will be set as two random values whose sum equals to Du[i].
Finally, the encrypted index tree I is built where the node u stores two encrypted
index vectors Iu = {MT1 Du′;MT2Du′′}.
• TD ← GenTrapdoor(Wq; SK) With keyword set Wq, the unencrypted query
vector Q with length of m is generated. If wi ∈ Wq, Q[i] stores the normalized IDF
value of wi; else Q[i] is set to 0. Similarly, the query vector Q is split into two
random vectors Q′ and Q′′. The difference is that if S[i] = 0, Q′[i] and Q′′[i] are set
to two random values whose sum equals to Q[i]; else Q′[i] and Q′′[i] are set as the
same as Q[i]. Finally, the algorithm returns the trapdoor
TD = {M−11 Q′;M−12 Q′′}.
• RelevanceScore ← SRScore(Iu;TD) With the trapdoor TD, the cloud server
computes the relevance score of node u in the index tree I to the query. Note that
the relevance score calculated from encrypted vectors is equal to that from
unencrypted vectors.
Module 5
EDMRS Scheme
The BDMRS scheme can protect the Index Confidentiality and Query
Confidentiality in the known ciphertext model. However, the cloud server is able
to link the same search requests by tracking path of visited nodes. In addition, in
10. the known background model, it is possible for the cloud server to identify a
keyword as the normalized TF distribution of the keyword can be exactly obtained
from the final calculated relevance scores. The primary cause is that the relevance
score calculated from Iu and TD is exactly equal to that from Du and Q. A heuristic
method to further improve the security is to break such exact equality. Thus, we
can introduce some tunable randomness to disturb the relevance score calculation.
In addition, to suit different users’ preferences for higher accurate ranked results or
better protected keyword privacy, the randomness are set adjustable.
CONCLUSION AND FUTURE WORK
In this paper, a secure, efficient and dynamic search scheme is proposed, which
supports not only the accurate multi-keyword ranked search but also the dynamic
deletion and insertion of documents. We construct a special keyword balanced
binary tree as the index, and propose a “Greedy Depth-first Search” algorithm to
obtain better efficiency than linear search. In addition, the parallel search process
can be carried out to further reduce the time cost. The security of the scheme is
protected against two threat models by using the secure kNN algorithm.
Experimental results demonstrate the efficiency of our proposed scheme. There are
still many challenge problems in symmetric SE schemes. In the proposed scheme,
the data owner is responsible for generating updating information and sending
them to the cloud server. Thus, the data owner needs to store the unencrypted
index tree and the information that are necessary to recalculate the IDF values.
Such an active data owner may not be very suitable for the cloud computing
model. It could be a meaningful but difficult future work to design a dynamic
11. searchable encryption scheme whose updating operation can be completed by
cloud server only, meanwhile reserving the ability to support multi-keyword
ranked search. In addition, as the most of works about searchable encryption, our
scheme mainly considers the challenge from the cloud server. Actually, there are
many secure challenges in a multi-user scheme. Firstly, all the users usually keep
the same secure key for trapdoor generation in a symmetric SE scheme. In this
case, the revocation of the user is big challenge. If it is needed to revoke a user in
this scheme, we need to rebuild the index and distribute the new secure keys to all
the authorized users. Secondly, symmetric SE schemes usually assume that all the
data users are trustworthy. It is not practical and a dishonest data user will lead to
many secure problems. For example, a dishonest data user may search the
documents and distribute the decrypted documents to the unauthorized ones. Even
more, a dishonest data user may distribute his/her secure keys to the unauthorized
ones. In the future works, we will try to improve the SE scheme to handle these
challenge problems.
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