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Image De-Duplication by using Tin Eye Match Service Engine in Cloud Computing

S. Simon Thomas*, R. Krishna Prakash**

*-** Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Tholurpatti, Tamil Nadu, India.

Periodicity:July - December'2021
DOI : https://doi.org/10.26634/jcc.8.2.16737

Abstract

Cloud computing is well-known for delivering hosted services over the Internet. These services are mainly divided into three, such as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Cloud computing uses the computer system resources, especially storage, and computing power, and is available on-demand without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet. Large clouds are predominant today, and data de-duplication is one of the strategies used to solve the repetition of information. This paper proposes preventing the replication of documents and media records like pictures using the TinEye algorithm. The deduplication strategies are commonly used in the cloud server to decrease the server's gap. To save the unauthorized use of statistics and gaining access to and creating reproduction information on the cloud, the encryption approach is to encrypt the facts before being stored on a cloud server. In this proposed system CloudMe is used for cloud storage. All files are encrypted using the AES algorithm and saved in the real cloud. A secure system architecture layout provides secure deduplication. The design permits the cloud with the critical de duplication functionality to completely cast off the bigger storage and bandwidth price. Thus, the proposed system involves image files in opposition to deduplication strategies to eliminate more storage and bandwidth value.

Keywords

TinEye, AES Algorithm, De-duplication.

How to Cite this Article?

Thomas, S. S., and Prakash, R. K. (2021). Image De-Duplication by using Tin Eye Match Service Engine in Cloud Computing. i-manager’s Journal on Cloud Computing, 8(2), 5-9. https://doi.org/10.26634/jcc.8.2.16737

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