Two-Cloud Secure Database for Numeric-Related SQL Range Queries with Privacy Preserving

It is important to pay close attention to a number of different things in order to finish this task properly. Problems include ensuring data availability, accuracy, and safety. Creating a secure database system for SQL range queries with numbers in two clouds is tricky. Users’ privacy must be protected throughout system development. Dual-Cloud Privacy-Preserving Database Architecture. Two-Cloud Secure Database for Numeric-Related SQL Range queries. Redundancy and Error-Checking Mechanisms for Data Integrity. Privacy-Enhanced Database Design for Numeric Information.

The goal of this one-of-a-kind approach is to keep secret sensitive information safe while also letting approved users check for ranges of numbers. This is to protect private data. This is done to avoid spread system issues. To ensure reliability, this secure database is housed in two clouds and distributed apart. This approach saves and manages data simultaneously across two cloud sources. The database core is based on this construction design, which is superior. Privacy-Enhanced Database Design for Numeric Information.

Using this duality also adds an extra layer of security, which lowers the chance of a single point of failure and, in the end, makes the system more resilient as a whole. No one else can get to the information stored in a database without the right credentials because the database uses encryption techniques to keep the information safe. Redundancy and Error-Checking Mechanisms for Data Integrity. This ensures that even if someone breaks into the system, the data cannot be read. This is still true even if the situation keeps going.

Providing Privacy for Numeric Range SQL Queries Using Two-Cloud Architecture

Building a secure database for SQL range searches that use numbers requires careful consideration of how to preserve users’ privacy by keeping their information private. This is a crucial consideration. This is one of the most crucial stages. In cryptography, homomorphic encryption allows computations on encrypted data. This method of encryption does not need data recovery during math.

The method uses homomorphic encryption, a type of cryptography, to reach this goal. This makes it possible for the machine to reach its goal. Also, important numerical data can’t be seen by cloud providers or other possible attackers, even while the question is being processed. Because of the reason given above, this is the case. Privacy-Enhanced Database Design for Numeric Information. Since this is the case, this is the reason. Secure handling of SQL range searches ensures the protection of user privacy. It ensures that range queries are executed in a suitable manner. SQL approaches involve range searches, which are crucial.

The system uses SMPC protocols, which stands for “secure multi-party computing,” to make it possible to do range searches on protected data without showing the real numbers. In this way, the system can reach its goal. This is what makes the system able to reach its goal. Two clouds work together to accomplish arithmetic, but they obscure the data below. This ensures that number information is always private. Because number confidentiality is crucial, this work is done. There are several ways to do this, and SMPC is one of them.

Providing Privacy for Numeric Range SQL Queries Using Two-Cloud Architecture

There are also identification and access controls built into the system to keep an eye on and manage who can access the secure information. One reason for doing this is to keep the information safe. Redundancy and Error-Checking Mechanisms for Data Integrity. This has to be done to make sure that the information is protected well enough. It is important to do these things so that the system can meet its goals and work properly. RBAC, or role-based access control, is a mechanism that enables the establishment and management of user privileges. This process can create user rights and keep them up to date. RBAC is a way that this chance, or potential, can be reached.

This ensures that only authorized users may conduct range queries on number data. This ensures no one may enter without authorization. Audit logs monitor system users’ actions. This maximizes speed. Two-Cloud Secure Database for Numeric-Related SQL Range queries. They want a detailed record of all database contacts to make monitoring and criminal investigations easier. The goal they set for themselves as a group is to achieve this victory. Redundancy and Error-Checking Mechanisms for Data Integrity.

Error-checking and redundancy procedures in the two-cloud system ensure data accuracy and completeness. Various approaches have been developed to detect and fix data problems while storing or transmitting. This ensures data accuracy and safety. Data storage is their job. Prevents undesired changes and manipulation. This proves the figures are accurate and trustworthy. This eliminates the possibility of twists.

Implementation of Secure Homomorphic Encryption on Cloud Database using Two-cloud Architecture

In the end, creating a two-cloud safe database for SQL range searches that deals with numbers and protects privacy requires a way that looks at the whole picture and protects privacy, consistency, and access control. They have to do this because the database has to have safety features that let people keep their information safe. Download synopsis on Numeric-Related SQL Range queries. This is how things are because the database has to be able to deal with all of these factors at the same time.

The goal of this one-of-a-kind system is to provide a reliable solution for managing numerical data in a safe and spread-out environment, while also respecting the users’ right to privacy. This is what the system should do in the end. There are a number of ways to reach this goal, such as using encryption, homomorphic encryption, safe multi-party computers, access limits, and data security measures. The ways it works to reach this goal are listed above. Privacy-Enhanced Database Design for Numeric Information.

Topics Covered:

01)Introduction
02)Objectives, ER Diagram
03)Flow Chats, Algorithms used
04)System Requirements
05)Project Screenshots
06)Conclusion, References