This article is a community contribution. The author is Chike Okonkwo, co-founder of the Web3-based social networking gaming protocol Gamic HQ.
The opinions expressed in this article are those of the contributor/author and do not necessarily reflect the views of Binance Academy.
Summary
Data tokenization is the process of converting sensitive data, such as credit card information, into tokens that can be securely transferred on the blockchain without revealing the original data.
Data tokenization improves security, privacy, and compliance while preventing unauthorized access and misuse.
Data tokenization requires careful consideration and implementation to manage its benefits and drawbacks.
What is a token?
Tokens are non-minable digital units that exist as registry entries on blockchains. Tokens come in many different forms and have various use cases. For example, they can be used as currencies or to encrypt data.
Tokens are usually issued using blockchains such as Ethereum and BNB Chain. Some popular token standards are ERC-20, ERC-721, ERC-1155, and BEP-20. Tokens are transferable units of value issued on a blockchain, but are not cryptocurrencies like bitcoin or ether, which are native to the underlying blockchain.
Some tokens could be redeemable for off-chain assets, such as gold and property, in what is called real-world asset (RWA) tokenization.
What is data tokenization?
Data tokenization is the process of converting sensitive data, such as credit card information or health data, into tokens that can be transferred, stored, and processed without revealing the original data.
These tokens are typically unique and irreplaceable and can be verified on the blockchain to improve data security, privacy, and compliance. For example, a credit card number can be tokenized as a random string of digits that can be used to verify payments without revealing the card number.
Data tokenization can also be applied to social media accounts: users can choose to tokenize their online presence to move seamlessly between social media platforms while maintaining ownership of their personal data.
The concept of tokenization has been around for a while. It is commonly used in the financial sector to ensure the security of payment information, but has the potential to be applied in many other sectors.
How is tokenization different from encryption?
Both tokenization and encryption are data protection methods. However, they operate in different ways and have different purposes.
Encryption is the process of converting text data into an unreadable format (ciphertext) that can only be decrypted with a secret key. It's a mathematical process that scrambles the data, making it unreadable to anyone who doesn't have the key. Encryption is used in various scenarios, including secure communication, data storage, authentication, digital signatures, and regulatory compliance.
Tokenization, on the other hand, is the process of replacing sensitive data with unique, non-sensitive identifiers called tokens. There is no reliance on a secret key to protect data. For example, a credit card number can be replaced with a token that is unrelated to the original number, but can be used to process transactions.
Tokenization is often used when data security and regulatory compliance are critical, such as in payment processing, healthcare, and handling personally identifiable information.
How data tokenization works
Let's say a user wants to switch from one social media platform to another. On traditional Web 2.0 social media platforms, the user would have to set up a new account and enter all of their personal data from scratch. It's also possible that your post and connection history from the old platform won't carry over to the new platform.
With data tokenization, users can link their existing digital identity to the new platform to transfer their personal data automatically. To do this, the user must have a digital wallet like Metamask, in which the wallet address represents their identity on the chain.
Next, the user must connect the wallet to the new social media platform. Personal history, connections and assets are automatically synchronized on the new platform because Metamask contains the user's digital identity on the blockchain.
This means that no tokens, NFTs, or transactions that the user has accumulated on the previous platform will be lost. This gives the user complete control to decide which platform to migrate to without feeling limited to a particular one.
Benefits of data tokenization
Enhanced data security
Tokenization improves data security. By replacing sensitive data with tokens, tokenization reduces the risk of data breaches, identity theft, fraud, and other cyberattacks. The tokens are linked to the original data in a secure mapping system, so even if the tokens are leaked or stolen, the original data remains protected.
Regulatory Compliance
Many industries are subject to strict data protection regulations. Tokenization helps organizations meet these requirements by protecting sensitive information and providing a solution that reduces the chances of non-compliance. Because tokenized data is considered non-sensitive, the process can also reduce the complexity of security audits and simplify data handling.
Secure data exchange
Tokenization could enable secure data sharing between departments, suppliers and partners by only providing access to tokens without revealing sensitive information. Tokenization can scale efficiently to meet the growing needs of organizations while reducing the cost of implementing data security measures.
Limitations of data tokenization
Data quality
Data tokenization can affect data quality and accuracy, as some information may be lost or distorted during the tokenization process. For example, if a user's location is tokenized, it could negatively impact how relevant location-based content could be displayed.
Data interoperability
Data tokenization could make it difficult for different systems, which use and process data, to work together. For example, tokenizing a user's email address could prevent them from receiving notifications from other platforms or services. Likewise, tokenizing a user's phone number could hinder their ability to make or receive calls or text messages depending on the platform they use.
Data governance
Data tokenization can raise legal and ethical questions about who has ownership and control of the data, and how it is used and shared. For example, tokenizing a user's personal information could change how the user expresses consent to how their data is collected and used. Tokenizing a user's social media posts could be against their freedom of expression or intellectual property rights.
Data recovery
Recovering data can be more complicated if a tokenization system fails. Organizations must restore both the tokenized data and the original sensitive data stored in the token vault, which can be complex.
Data Tokenization Use Case: Social Media and NFTs
Centralized social media platforms collect large amounts of user data to create targeted ads, recommend content, and personalize the user experience. This information is often stored in centralized databases, which can be sold without users' permission or hacked and compromised.
With data tokenization, users can tokenize their social media data and sell it to advertisers or researchers if they wish. Users can control who can view or share their content. They can also create custom rules for their profiles and content.
For example, they can allow only verified users to view their content or set a minimum token balance for those who want to interact with them. This gives users complete control over their social graph, their content, and the monetization of their channels, such as tips and subscriptions.
Conclusions
Data tokenization has already been adopted in several industries, including healthcare, finance, media, and social media. Driven by the growing need for data security and regulatory compliance, data tokenization is likely to continue growing.
Implementing this approach effectively requires careful consideration and implementation. Data tokenization should be carried out in a clear and responsible manner, respecting the rights and expectations of users, and complying with relevant laws and regulations.
Further reading:
How Web3 is transforming sports, music and fashion
What are token standards?
Introduction to ERC-20 Tokens
How will AI impact the NFT art ecosystem?
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