What are the examples of data protection 7 principles? Data Protection 7 principles are a set of guidelines and suggestions for how to protect data from being stolen, leaked, or otherwise mishandled. Appropriate technical and organizational measures shall be against unauthorized or unlawful processing of personal data and accidental loss. Below are the examples.
Examples Of Data Protection 7 Principles
The seven principles of data protection are confidentiality, integrity, availability, accountability, authenticity, sovereignty, and non-repudiation.
Confidentiality
The principle of confidentiality requires that data should only be for specified and legitimate purposes and that the data should only be for those purposes. Data should not be to unauthorized individuals or organizations.
Integrity
The principle of integrity requires that personal data must be accurate and, where necessary, kept up to date. Personal data should not be for longer than is necessary. Non-personal data may be indefinite.
Availability
The principle of availability requires that personal data must be accessible to those who are to access it at all times. Personal data must not be on systems that cannot support access requests under the principle of availability.
Accountability
The principle of accountability requires that individuals and organizations that are responsible for implementing data protection measures should be accountable for doing so. Accountability should be in the design of technology and business processes.
Authenticity
The principle of authenticity requires that personal data must remain relevant and reliable, and must not be misleading. Also, the principle of authenticity may require verification, identification, and authentication of people, systems, or devices that interact with personal data.
For example, it is important to authenticate a user when they login to an online account. It is also important to authenticate a device when it first connects to a network or system.
Sovereignty
The principle of sovereignty requires that organizations should determine the purposes for which they process personal data and that people should have a right to ascertain what data is about them.
Non-repudiation
The principle of non-repudiation requires that data should be against unauthorized or unlawful processing, accidental loss, destruction, or damage.
The principles are in order of importance. The principle of confidentiality is the most important and the principle of non-repudiation is the least important.
Data Security Model
The data security model is the foundation of the data protection framework. It sets out how a company will protect its assets, and what type of protection it will use. It is on the likelihood and impact of a potential cyber attack.
The more likely an attack is to happen, and the greater the impact of that attack will be, the more secure a company will need.
The data security model can be in various ways. It can be to determine the type of technical measures needed to secure data, and it can also be to determine the amount of security that a company should have.
Conclusion
Data protection is the set of rules and guidelines that a company should follow to protect its data from being stolen, leaked, or otherwise mishandled. On the other hand, data security is the theory behind these rules and guidelines.