Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique

Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique

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Product Code: Java - Data Mining
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Product Description

Aim

          The main aim of this project is to preserve the outsourced data in cloud through gateway encryption, and to implement personalized search over the encrypted data in a secure way by NLP process without downloading and decrypting the entire group member file contents.         


Abstract

          Research in cloud computing is receiving a lot of attention from both academic and industrial worlds. In cloud computing, users can outsource their computation and storage to servers (also called clouds) using Internet. Clouds can provide several types of services like applications (e.g., Google Apps, Microsoft online), infrastructures (e.g., Amazon’s EC2, Eucalyptus, Nimbus), and platforms to help developers write applications (e.g., Amazon’s S3, Windows Azure). Much of the data stored in clouds is highly sensitive, for example, medical records and social networks. Security and privacy are thus very important issues in cloud computing. In one hand, the user should authenticate itself before initiating any transaction, and on the other hand, it must be ensured that the cloud does not tamper with the data that is outsourced.


         In order to search in cloud, some requirements is needed, search over encrypted data should support the following three functions. First, the searchable encryption schemes should support keyword search, and provide the same user experience as searching in Google search with different keywords; single-keyword search is far from satisfactory by only returning very limited and inaccurate search results. Second, to quickly identify most relevant results, the search user would typically prefer cloud servers to sort the returned search results in a relevance-based order ranked by the relevance of the search request to the documents.

Proposed system

        In Proposed system, PSU (personalized search) scheme with efficient and secure updates we introduced an efficient and reliable methodology for search over encrypted data. Here the encrypted keyword search pre computes the resulting search documents for the input query from users through Natural language processing Technique which is implemented on gateway (client side) on user file upload. Hence the matching documents which is pre compute the before searching the encrypted cloud contents are retrieved from cloud. Here we does not pull all the encrypted data’s from cloud for searching, which is time consuming and ineffective. The matching documents memory locations on mobile storage are retrieved from the serializable objects which is stored in the gateway. User can download the resulting documents after getting the keys from the group owner. Asymmetric kind of encryption for key re-encryption and is more secured.


        User can upload the files in public and private mode. If user uploads files in public mode, the file is to encoded using Base64 algorithm. If user uploads in private mode the file content is encrypted using RSA algorithm and then can give access control for each group user. PSU proceeds in seven phases, System Setup, Building Encrypted Database, Trapdoor Generation, Search, Auditing, Decryption and, Efficient and Secure Updating.User search in cloud using keywords, cloud can send the related files to respective user. If data user wants to read the contents of files, data user should request to cloud and then cloud will request to data owner. Data owner checks the user attributes and access control, then the owner forward the private key and data’s in secure manner.


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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.