BLOCKCHAIN Privacy and Security in Data Computation

Exploring MPC, TEE & ZK

March 22, 2024
Exploring MPC, TEE & ZK

As we move deeper into the digital age, blockchain privacy and data security emerge as paramount concerns amidst the expanding use of blockchain technology. The transparent nature of blockchain, designed to foster trust through open, immutable ledgers, ironically poses significant privacy and security challenges for personal and sensitive data. As blockchain networks continue to underpin a growing array of applications, from cryptocurrencies to smart contracts, the urgency to address these data privacy concerns has never been more critical.

Businesses leveraging blockchain for its unparalleled transparency and security are now confronting the complex balance between openness and data protection. Users, ranging from individuals to large corporations, find themselves at an increased risk of having their data compromised, highlighting a growing concern over data privacy in the blockchain ecosystem and underscoring the pressing need for robust blockchain privacy solutions.

The rise of privacy-preserving technologies, such as Multi-Party Computation (MPC), Zero-Knowledge Proofs (ZK), and Trusted Execution Environments (TEE), marks a significant development in the quest for enhanced blockchain privacy and data security. These innovations offer robust solutions for protecting data without detracting from the utility that blockchain technology provides. MPC enables multiple entities to jointly compute a result over their data inputs without revealing those inputs to each other, thus safeguarding data privacy. ZK proofs offer a method for parties to prove the validity of their transactions without disclosing the data itself, revolutionizing blockchain privacy. TEEs create a secure enclave for data and code, protecting them from external threats and ensuring the integrity of data computations on the blockchain.

Comparison table: MPC, ZK & TEE

Integrating these technologies into blockchain infrastructure not only strengthens blockchain privacy but also secures data against unauthorized access, setting a new standard for privacy and data security in the digital age. This approach to data privacy on the blockchain fosters trust among users, encouraging broader adoption across various sectors. By prioritizing blockchain privacy and data security, developers and businesses can unlock the full potential of blockchain, enabling innovative applications that require confidential data handling and secure transactions.

Understanding Multi-Party Computation (MPC)

Multiparty Computation (MPC) is a groundbreaking cryptographic method enabling multiple parties to collaboratively compute data tasks without revealing their individual data to each other. This approach is built on Shamir’s secret sharing scheme, where a private key is divided into shares, distributed among parties. Each party holds only a part of the key, ensuring privacy while allowing correct computation outputs.

MPC is designed to protect data from malicious actions by any participating party and guarantees the correctness of computations. An illustrative example of MPC's application in blockchain privacy involves the secure management of cryptocurrency wallets. By employing MPC, the wallet can split the private key associated with a user's assets into multiple shares. These shares are then distributed among several parties or devices, ensuring that no single party has access to the complete key.

MPC has found applications across various sectors, including finance, healthcare, blockchain privacy, secure voting systems, data analysis, business analytics and more.


  • Allows computations on encrypted data, ensuring privacy and reducing the trade-off between data utility and privacy.
  • Keeps the data encrypted throughout the process, providing a more secure solution with lower computing demands.


  • Struggles to efficiently handle an increase in the number of participants, affecting scalability.
  • Not suitable for applications requiring high speed, due to its relatively slow execution time.
  • Ensuring security against sophisticated attacks remains a challenge.
Multiparty Computation (MPC) overview

Zero-Knowledge Proofs (ZK)

Zero-Knowledge Proof (zkProof) is a cryptographic method allowing a prover to demonstrate the truth of a claim to a verifier without revealing any information about the claim itself. This ensures the verifier learns only the validity of the statement, maintaining the privacy of the underlying information.

zkProof is designed to balance transparency and privacy, especially crucial in blockchain privacy applications where certain transactions or smart contract executions require confidentiality. It enables the verification of information's existence and validity without exposing the underlying data.

zkProofs are pivotal in advancing blockchain privacy and data protection, offering a comprehensive suite of solutions across the blockchain landscape:

  • Enabling confidential transactions, directly addressing the need for blockchain privacy, allowing parties to transact without disclosing sensitive data.
  • Scaling blockchain networks efficiently through layer 2 solutions like zk-Rollups, which bundle numerous transactions into one, enhancing blockchain privacy and optimizing data processing.
  • Facilitating secure and private identity authentication, providing a mechanism where individuals can prove identity or compliance without revealing any personal data.
  • Enabling verifiable computation, where the integrity of data processed off-chain can be confirmed on-chain without exposing the actual data.


  • Improves blockchain privacy and scalability through efficient transaction bundling techniques.
  • Can be adapted to a wide range of privacy scenarios, providing a broad utility spectrum.


  • Demand significant computational resources and remain in an early development stage.
  • Frequently requires the knowledge of specialized programming languages.

For more information, visit our latest articles about Collaborative Zero-Knowledge Proofs (co-ZKPs) and Zero Knowledge Proofs (ZKPs).

Zero-Knowledge Proof (zkProof) overview

Trusted Execution Environments (TEE)

Trusted Execution Environments (TEE) are secure areas within a computer's processor designed to execute code and store data in a way that is isolated from the rest of the device's operating system and applications. This isolation ensures that the data and operations within the TEE remain confidential and integral, even if the external environment is compromised.

The primary purpose of TEEs is to enhance the security and privacy of data processing and storage, particularly for applications requiring a high degree of trust. By safeguarding sensitive operations, TEEs ensure that cryptographic keys, personal identification information, and other confidential data are protected against external threats.

Many crypto organizations already utilize TEEs for a diverse array of tasks, with blockchain privacy applications representing just one minor aspect of their use cases.

Some use cases include dark orderbooks, payment systems & secure encrypted messaging.


  • The infrastructure is robust and extensively developed
  • Delivers superior performance relative to existing alternatives.
  • Adaptability to different privacy and security needs


  • Dependant on centralized services and hardware features, making their security as good as the underlying hardware's vulnerability to physical or side-channel attack.
  • Some applications might find it challenging to scale efficiently with TEEs, especially when managing large volumes of secure transactions or data.
Trusted Execution Environments (TEE) overview

Synergy of MPC, TEE, and ZK

The integration of MPC, TEE, and ZK technologies establishes a fortified foundation for blockchain privacy, providing a comprehensive solution for secure and private data computation. While MPC and ZK excel in preserving the confidentiality of data inputs and computational processes, TEEs deliver a safeguarded execution space, shielding these operations from external vulnerabilities.

Complementary Use Cases:

  • Blockchain privacy is significantly advanced with the combined strengths of MPC and ZK. Together, they facilitate private transactions and smart contracts, with TEEs ensuring the secure execution of blockchain protocols. This collaboration enhances the trust and integrity of blockchain data interactions.
  • The healthcare industry benefits from the synergy of these technologies, where secure data analytics is paramount. MPC's privacy-preserving computations merge with TEEs' secure execution environments to enable the secure processing of sensitive health data, demonstrating a profound commitment to patient data privacy and the security of medical information systems.

Through this technological convergence, we are setting new standards for blockchain privacy, ensuring that data remains confidential and computation integrity is maintained.

Performance comparison table: MPC, ZK & TEE

Our performance table reflects the capabilities of each technology, guiding developers in leveraging the right combination to bolster data security and blockchain privacy. It is this strategic interplay that heralds a future where blockchain technology meets the rising demands for data privacy and secure computing in our increasingly digital world.

Future Directions and Potential for Blockchain Privacy

The evolution of digital technologies foretells a future where the confluence of MPC, TEE, and ZK will be central to enhancing blockchain privacy across a spectrum of industries. With the pursuit of more efficient algorithms, greater integration into cloud computing services, and breakthroughs in secure machine learning, these technologies are poised to deepen the imprint of blockchain privacy on our digital lives.

Impact on Sectors:

  • Finance: These technologies ensure that blockchain privacy is at the forefront, enabling secure financial transactions, sophisticated fraud detection, and streamlined regulatory compliance, thus revolutionizing the management and security of financial data.
  • Healthcare: The confidential analysis of medical data becomes more robust, augmenting patient privacy and advancing medical research, all while maintaining the integrity and privacy of sensitive health data.
  • Government: Blockchain privacy becomes instrumental in securing electoral processes with robust voting systems and fostering a new standard for confidential data sharing between governmental agencies.

As blockchain privacy becomes increasingly intertwined with the secure handling of data, MPC, TEE, and ZK stand out as catalysts for change, offering the potential for transformative applications that respect user privacy while harnessing the collective data for the greater good. The synergy of these technologies may well define the next frontier of secure, private, and efficient data utilization, driving innovation while safeguarding individual and collective privacy in the blockchain realm.

Final Thoughts

It's crucial to highlight the importance of MPC, TEE, and ZK in the area of blockchain privacy. We need to recognize key advancements, like ZKON's adoption of zkProof technology. The blending of blockchain and cryptography opens up a wealth of opportunities across different industries. ZKON shows how advanced technology can be turned into practical, real-world solutions that go beyond theory and impact our everyday digital interactions.

Check out the wide-ranging applications and real-world success stories of ZKON by exploring our use cases and customer stories. Here, theoretical ideas become real-world results in the field of blockchain privacy solutions. We are dedicated to reshaping the future of blockchain privacy and data security.

Stay in the loop with the latest developments in this exciting field by following ZKON on Twitter and visiting our website.

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