Efficient Revocation of Untrusted User in Identity based Cloud Storage System for Shared Big Data

Big Data management is an interesting research challenge for all storage vendors. Since data can be structured or unstructured, hence variety of storage systems has been designed to meet storage requirement as per organization's demands. The article focuses on different kinds of storage systems, their architecture and implementations. The first portion of the article describes different examples of structured (PostgreSQL) and unstructured databases (MongoDB, OrientDB and Neo4j) along with data models and comparative performance analysis between them. The second portion of the paper focuses on cloud storage systems. As an example of cloud storage, Google Cloud Storage and mainly its implementation details have been discussed. The aim of the article is not to eulogize any particular storage system, but to clearly point out that every storage has a role to play in the industry. It depends on the enterprise to identify the requirements and deploy the storage systems.

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Machine learning-driven automatic storage space recommendation for object-based cloud storage system

Complex & Intelligent Systems ◽

10.1007/s40747-021-00517-4 ◽

2021 ◽

Author(s):

Anindita Sarkar Mondal ◽

Anirban Mukhopadhyay ◽

Samiran Chattopadhyay

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Big Data ◽

Cloud Storage ◽

Recommendation System ◽

Storage System ◽

Sparse Learning ◽

Storage Space ◽

Object Based ◽

Selection Algorithms

AbstractAn object-based cloud storage system is a storage platform where big data is managed through the internet and data is considered as an object. A smart storage system should be able to handle the big data variety property by recommending the storage space for each data type automatically. Machine learning can help make a storage system automatic. This article proposes a classification engine framework for this purpose by utilizing a machine learning strategy. A feature selection approach wrapped with a classifier is proposed to automatically predict the proper storage space for the incoming big data. It helps build an automatic storage space recommendation system for an object-based cloud storage platform. To find out a suitable combination of feature selection algorithms and classifiers for the proposed classification engine, a comparative study of different supervised feature selection algorithms (i.e., Fisher score, F-score, Lll21) from three categories (similarity, statistical, sparse learning) associated with various classifiers (i.e., SVM, K-NN, Neural Network) is performed. We illustrate our study using RSoS system as it provides a cloud storage platform for the healthcare data as experimental big data by considering its variety property. The experiments confirm that Lll21 feature selection combined with K-NN classifier provides better performance than the others.

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Implementation of Cloud Security by Identity Based Encryption

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d9142.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 9812-9816

Keyword(s):

Cloud Storage ◽

Storage System ◽

Cloud Security ◽

Human Identity ◽

Ip Address ◽

Contact Number ◽

Private Key ◽

Identity Based Encryption ◽

User Data ◽

Identity Based

This paper presents the concept of encrypting the Data from the client to the client. But using some Key generator which sets the password for sending the information. In this concept, we have two types of passwords those are Private Key and Cloud outsourced key. The password will be sent to the client through email by using unique human identity, example Special Name, user id, IP address, etc. This Paper Deals with the client, private key generator and cloud. First, the user has to register by giving their basic details for having user name and password, have to enter their personal details, including contact number, email id, country, etc. When the user Id has created, they have to log through the client login. If they have an account they can be logged in if they are not having an account, they have to register. If any loss of password can reset the password by providing the email Id. This Paper can provide the Security of the user Data. In this Paper we are using cloud storage system.

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