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Two key technologies that provide data integrity in a VPN (Virtual Private Network) connection are IPsec (internet Protocol Security) and TLS (Transport Layer Security).

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Nazrin Begum

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1y ago

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What are objectives of data base?

Hi, 1. Provide for efficient sorage,update and retrieval of data. 2. Provide high integrity to promote user trust in the data.


Can a system provide integrity without confidentiality?

Yes, a system can provide integrity without confidentiality. Integrity ensures that data remains accurate and unaltered, allowing users to trust the information's validity. However, if the system does not protect against unauthorized access, the data can be viewed by anyone, compromising confidentiality. Thus, a system can maintain integrity while still exposing data to potential breaches of confidentiality.


How data loses its integrity?

In database system one of the main feature is that it maintains data integrity. When integrity constraints are not enforces then the data loses its integrity.


What Blank Integrity refers to a set of Access rules that govern data entry and helps to ensure data accuracy?

Yes, that is what data integrity is all about.


What do you mean by data integrity?

Data integrity is a term used in databases. In its broadest use, "data integrity" refers to the accuracy and consistency of data stored in a database, data warehouse, data mart or other construct. The term - Data Integrity - can be used to describe a state, a process or a function - and is often used as a proxy for "data quality".


What integrity refers to a set of access rules that govern data entry and helps to ensure data accuracy?

Data integrity.


What identifies the quality of the data?

Data Integrity


What has become more important because of the increased use of computers the Internet and WWW?

Data integrity and data security


Protocol does not support encryption of connection data?

Please provide more information in the discussion page.


What is the meaning of integrity of data?

Integrity of data refers to ensuring that data is accurate, consistent, and reliable. It involves maintaining the completeness and reliability of data throughout its lifecycle, including preventing unauthorized changes, ensuring data validation, and implementing data quality controls. Maintaining data integrity is crucial for making informed decisions and building trust in the data.


How can data integrity be maintained?

Data integrity can be maintained by implementing methods such as data validation, data encryption, access controls, regular backups, and audit trails. By ensuring that data is accurate, secure, and only accessible to authorized users, organizations can safeguard their data integrity. Regular monitoring and updates to security measures are also essential in maintaining data integrity.


What are the disadvantages of Data integrity?

Some disadvantages of data integrity can include increased storage requirements, slower processing speeds due to the need to validate data, and potential complexity in managing and enforcing data integrity rules across an organization. Additionally, strict data integrity measures can sometimes limit flexibility and agility in data operations.