Privacy Enhancing Computation
When focusing on the Privacy Enhancing Computation, it can be said that the amount of data circulating in cyberspace has increased tremendously due to the data- based society that has evolved with the advancement of humankind, and the technologies available in these privacy enhancement computation have helped to process and protect data the privacy of data holders. In a further introduction, this Privacy Enhancing Computation is introduced by Gartner, an organization that conducts research in various fields and provides knowledge, advice and technical tools at the major fields in the world after reaching its conclusions. And they present technical trends for each year, one of which is Privacy Enhancing Computation for the year 2021 [1].
Data increases in value and adds value after it is shared and subjected to various processes. But nowadays, there is an increase in cyber-crimes and among them there is a special increment in crimes that violate privacy. So people are reluctant to manipulate their data on the internet. The main reasons are the unauthorized access of people’s personal and sensitive data over the Internet without any permission can have a detrimental effect on their day-to-day operations, and sometimes their entire lives, lack of transparency in the processes by which people exchange data between third parties into their own data, problems caused by exposure of personal data for non-good purposes and damage to personal reputation. To create these causes, work is carried out with malicious and anti-social intent, by people who act anonymously and conceal their identities, who use fake accounts, who alter the sequence of data to launch hacker attacks, and who do unauthorized access to other people’s persona data by EPID (Enhanced Privacy ID) users and pseudonyms users [1].
But there is no need to deny it any further and this Privacy Enhancing Computation trend seeks to set a new trend in the world by providing information on how data security and the privacy of data holders and users are guaranteed. There are three main steps that can be taken to do this, which will not only protect user’s privacy but also provide them with specific knowledge of the relevant field. These 3 modes are the use of trusted environments that can ensure security instead of an environment where data security may be compromised and security cannot be guaranteed, using Machine Learning (ML) and Artificial Intelligence (AI) to perform an analysis process on privacy, and using data and algorithms that incorporate technologies such as homogenous encryption that belongs to Data masking techniques. Although these technological strategies may not be able to ensure the security of data and users immediately, it is better to call the process a more accurate, faster and durable result [2].
In this Privacy Enhancing Computation process, several new technologies are working together to ensure the security of data and data users in this digitized world. Among these technologies mainly can be considered, homogenization of encryption, using a safe environment to execute processes; Trusted execution environments (TEE) , using multiple quantities of parties to perform computation; Multi-party computation, using unique algorithm named ‘Differential privacy’ and using a personal data storing place to store data. These technologies provide specialized keys for accessing various data and specific high security protection for the main device from being subjected to both authentication and verification processes by suing a password, email, code or a phone message. Furthermore, these provides, although data can be shared between several parties, cryptographic protocols provide strict protection against initial data display and also individual level data can be protected in the same way ad data can be easily stored and updated without legally risk [1].
So, this can be described as a more effective technological approach that allows data to be secured in a data-driven society with the new renaissance of technology, as well as to ensure the security of personal lives, without compromising the security of data, providing better security for data and working together with society.
References
[1] “Privacy-Enhancing Computation: Data Protection Technologies.” https://gbksoft.com/blog/privacy-enhancing-computation/ (accessed Mar. 04, 2021).
[2] “Top 10 Privacy Enhancing Technologies (PETs) in 2021.” https://research.aimultiple.com/privacy-enhancing.../ (accessed Mar. 04, 2021).
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