AN APPROACH TO PERFORM SECURE DEDUPLICATION IN BIG DATA STORAGE THROUGH HYBRID CLOUD

Author (s) : Dr.S.Prakash Kumar, S.Shenbagam

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Abstract :

Big data is a rapidly growing field, and the amount of data stored in the cloud is increasing exponentially. This growth in data brings with it the challenge of how to store and manage this data efficiently. One way to address this challenge is through deduplication, which is the process of identifying and removing duplicate copies of data. Deduplication can save significant amounts of storage space and network bandwidth.However, deduplication can also be a security challenge. If the deduplication process is not secure, then an attacker could gain access to sensitive data by exploiting the duplicate copies. This is where attribute-based encryption (ABE) can be used to provide secure deduplication in the cloud.ABE is a type of encryption that allows data to be encrypted with specific access policies. This means that only users with the correct credentials can decrypt the data. This makes it possible to deduplicate data without compromising its security. This paper presents a secure deduplication system for big data storage in the cloud. The system uses ABE to encrypt the data and a hybrid cloud architecture to store the data. The system has two main advantages over existing deduplication systems. First, it provides secure sharing of data with users through specific access policies. Second, it achieves the standard notion of semantic security for data confidentiality. The system was implemented and evaluated using a real-world dataset. The results show that the system is able to deduplicate data efficiently and securely.

Keywords : big data, deduplication, attribute-based encryption, hybrid cloud, semantic security

Conference Date : 13/11/2020

Pages : 191

Paper ID : 20191