An overview on CryptDb and word2vec approaches

Abstract

Big data is a vast data set that was used in many areas. Online applications are subject to theft of confidential information because opponents can exploit software errors to access private data, and because curious or malicious officials can capture and lose data. CryptDB is a functional system that provides security and confidentiality through a set of operations. The obvious confidentiality of these attacks is for applications supported by SQL databases. It works by executing SQL queries on encrypted data using robust coding systems that support SQL. Word2Vec outputs word vectors that can be displayed as a large piece of text, or even we first train data. Word2Vec forms and word similarity assessment. Without a doubt, this article calls for proper research that sheds light on the security features using CryptDB to prevent data theft and privacy breaches in the server. The motivation of this research is to have an overview of CryptDB and Word2Vec implementation on the existing research approaches.