TEE technology leads a new era of Web3: a comprehensive revolution from privacy computing to Decentralization AI.

Trusted Execution Environment ( TEE ): The Core Technology of the Web3 Era

Chapter 1: The Rise of TEE - Why It Has Become a Key Piece in the Web3 Era

1.1 Introduction to TEE

Trusted Execution Environment ( TEE ) is a hardware-based secure execution environment that ensures data is not tampered with, stolen, or leaked during the computation process. It creates a secure area within the CPU that is isolated from the operating system and applications, providing additional protection for sensitive data and computations.

The core features of TEE include:

  • Isolation: Runs in a protected area of the CPU, isolated from the OS and other programs.
  • Integrity: Ensure that the execution process of code and data is not tampered with.
  • Confidentiality: Internal data will not be accessed externally.
  • Remote proof: Capable of being externally verified to execute trusted code

1.2 The Demand for TEE in Web3

In the Web3 ecosystem, privacy computing, secure execution, and censorship resistance are core demands, and TEE provides these key capabilities. Current blockchain and decentralized applications face the following challenges:

1.2.1 Blockchain Privacy Issues

Traditional blockchains are completely transparent, with all transaction and contract data viewable by anyone, resulting in:

  • User privacy breach: Fund flows and identities can be traced.
  • Corporate data leakage: Sensitive business data cannot be stored on the public chain.

TEE Solution: By using TEE + smart contracts, build private computing contracts that only authorized users can access the results, while the original data is hidden from the outside.

1.2.2 MEV Issues

Miners can utilize the transparency of transaction information for arbitrage, such as:

  • Front-running: Submitting profit before the user trades
  • Sandwich Attack: Inserting transactions before and after a user transaction to manipulate the price.

TEE Solutions: Transactions are ordered in a private environment, ensuring that miners cannot see the details in advance.

1.2.3 Calculate performance bottlenecks

The computing power of public chains is limited, and on-chain computation is expensive and inefficient:

  • Ethereum Gas fees are high
  • Unable to support complex tasks such as AI and image processing.

TEE Solutions: As the core of a decentralized computing network, it allows contracts to outsource computation tasks to a trusted environment for execution.

1.2.4 DePIN Trust Issues

Decentralized Physical Infrastructure Network ( DePIN ) relies on trustless computing and verification mechanisms:

  • TEE ensures the trustworthiness of data and computation tasks.
  • Combine remote proof to provide trustworthy results to the blockchain

Comparison of 1.3 TEE and Other Privacy Computing Technologies

  • TEE: Efficient, low latency, suitable for high-throughput tasks, but reliant on specific hardware.
  • ZKP: A mathematical proof of data correctness, but with high computational overhead.
  • MPC: No need for a single trusted hardware, but with lower performance.
  • FHE: Direct computation in encrypted state, but with extremely high overhead.

Chapter 2: Inside TEE Technology - In-Depth Analysis of Trusted Computing Core Architecture

2.1 Basic Principles of TEE

2.1.1 TEE Working Mechanism

TEE creates a protected isolated area within the CPU through hardware support, with key components including:

  • Secure Memory: Use a dedicated encrypted memory area within the CPU
  • Isolated execution: code runs independently of the main operating system.
  • Encrypted storage: Data is stored in a non-secure environment after encryption.
  • Remote attestation: allows for remote verification of TEE running trusted code

2.1.2 TEE Security Model

Based on the minimal trust assumption ( Minimal TCB ):

  • Trust only the TEE itself, not external components like the OS.
  • Use encryption technology and hardware protection to resist attacks

Comparison of Mainstream TEE Technologies 2.2

2.2.1 Intel SGX

  • Based on Enclave memory isolation
  • Hardware-level memory encryption
  • Support remote proof
  • Limitations: Memory constraints, vulnerable to side-channel attacks

2.2.2 AMD SEV

  • Full Memory Encryption
  • Multiple VM isolation
  • Support remote proof ( SEV-SNP )
  • Limitation: Only applicable to virtualized environments, high performance overhead

2.2.3 ARM TrustZone

  • Lightweight architecture, suitable for low-power devices
  • Full system-level TEE support
  • Based on hardware isolation
  • Limitations: Lower security level, limited development

2.3 RISC-V Keystone: Open-source TEE aspirations

  • Fully open source, avoiding closed-source hardware security issues
  • Support flexible and secure policies
  • Applicable to decentralized computing and the Web3 ecosystem

2.4 TEE Data Security Assurance

  • Encrypted Storage: External storage encrypted data can only be decrypted by TEE.
  • Remote attestation: verifying trusted code execution in TEE
  • Side-channel attack protection: memory encryption, data access randomization, etc.

Chapter 3: The Application of TEE in the Encrypted World - From MEV to AI, a Revolution is Happening

3.1 Decentralized Computing: TEE Solves Web3 Bottlenecks

3.1.1 Web3 Computing Challenge

  • Limited computing power: unable to handle large-scale tasks
  • Data privacy issues: On-chain computation transparency
  • High cost of computing: complex calculations are extremely expensive

3.1.2 Akash & Ankr: TEE Empowering Decentralized Computing

Akash Network:

  • Privacy Computing: TEE runs confidential computing tasks
  • Trusted Computing Market: Ensuring resources are not tampered with

Ankr Network:

  • Secure Remote Computing: TEE ensures the trustworthiness of cloud tasks
  • Censorship Resistance: Provides censorship-resistant computing resources

3.2 Trustless MEV Trading: TEE Optimal Solution

3.2.1 Current Status and Challenges of MEV

  • Pre-execution: Miners can front-run user transactions
  • Centralized sorting: relies on centralized sorters
  • Risk of information leakage: Impact on trading fairness

3.2.2 TEE Empowered MEV Solution

Flashbots & TEE:

  • TEE Internal Encrypted Sorting Transaction
  • Prevent miners from tampering with the order

EigenLayer & TEE:

  • Ensure the fairness of the collateral re-staking mechanism
  • Remote certificate verification ensures the system has not been tampered with.

3.3 Privacy-Preserving Computing & DePIN Ecosystem: Nillion Builds Next-Generation Privacy Network with TEE

3.3.1 Nillion Privacy Computing Solution

  • Achieve data protection by combining TEE and MPC
  • Data Sharding Processing: TEE Encrypted Computing
  • Privacy Smart Contract: Data is only visible within the TEE

3.3.2 TEE in DePIN ecological applications

  • Smart Grid: Protect User Energy Data
  • Decentralized Storage: Ensuring Secure Data Access

3.4 Decentralized AI: TEE Protects Training Data

  • Bittensor: TEE protects AI model data privacy
  • Gensyn:TEE ensures the confidentiality of AI training data

3.5 DeFi Privacy and Decentralized Identity: Secret Network uses TEE to protect smart contracts

  • Private Smart Contract: Transaction data is only visible within TEE.
  • Decentralized Identity ( DID ): TEE stores identity information

Chapter Four: Conclusion and Outlook - How Will TEE Reshape Web3?

4.1 Trustworthy computing promotes the development of decentralized infrastructure

  • Decentralized Computing: Ensuring Integrity and Confidentiality
  • Privacy Protection: Encrypted computation protects user privacy
  • Enhanced Performance: Increased Computing Throughput

4.2 TEE Potential Business Models and Token Economic Opportunities

  • Decentralized Computing Market
  • Privacy Computing Services
  • Distributed Computing and Storage
  • Blockchain Infrastructure Supply
  • Tokenized computing resources
  • TEE service token incentive
  • Decentralized identity and data exchange

4.3 Key Development Directions of TEE in the Next Five Years

4.3.1 Deep Integration of TEE and Web3

  • DeFi: Ensuring transaction privacy and contract security
  • Privacy Computing: Combining technologies such as ZKP and FHE
  • Decentralized AI: Supports secure model training
  • Cross-chain computing: Facilitating trusted asset and data exchange

4.3.2 TEE Hardware and Protocol Innovation

  • Next-generation hardware solutions: RISC-V Keystone, Intel TDX
  • Protocol innovation: integration with MPC, ZKP, etc.
  • Decentralized Hardware Platform

4.3.3 Evolution of Regulatory Compliance and Privacy Protection

  • Multi-country compliance solutions: Adapt to global privacy regulations
  • Transparent privacy computing: Achievable verification with ZKP

Chapter Five Summary

TEE technology is widely used in the Web3 ecosystem, providing a trustless computing environment and effective privacy protection. In the future, it will play a key role in decentralized computing, privacy protection, smart contracts, and other fields, driving Web3 innovation. TEE will give rise to new business models and token economic opportunities, becoming a core technology in the cryptocurrency industry.

Huobi Growth Academy丨TEE (Trusted Execution Environment) In-depth Research Report: The Revolution of Privacy Computing, the Ultimate Puzzle of Web3

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