Abstract
This EIP proposes a cryptographic framework that enables autonomous agents to coordinate directly without relying on trusted intermediaries for verification. The framework addresses the fundamental trust problem in autonomous agent interactions by providing cryptographic guarantees for authenticity, integrity, confidentiality, and temporal validity of agent intentions. Through the composition of digital signatures, public-key encryption, temporal validity constraints, and execution metadata, agents can create verifiable proofs of their intentions that can be validated by any party without requiring centralized verification authorities. The framework includes formal security properties, protocol specifications, and implementation guidelines specifically adapted for Ethereum and cross-chain environments.
Motivation
The proliferation of autonomous agents in decentralized systems has created a fundamental coordination problem that existing solutions fail to address adequately. Current approaches to autonomous agent coordination rely heavily on centralized verification authorities, trusted execution environments, or assume agents operate within trusted network boundaries. These limitations create significant barriers to scalability, interoperability, and decentralization in autonomous system architectures.
Consider a typical autonomous agent interaction scenario: Agent A generates a trading decision based on market analysis and communicates this intent to Execution System B. Under conventional architectures, System B must establish trust across multiple dimensions: first, that the decision actually originated from Agent A and has not been forged by a malicious actor; second, that the decision payload has not been tampered with or modified during transmission; third, that the decision reflects current market conditions rather than stale or replayed information; and fourth, that sensitive strategy information contained within the decision remains confidential from unauthorized observers who might exploit this information for front-running or other adversarial purposes.
The conventional solution to this multi-faceted trust problem involves deploying authentication servers, managing API keys, implementing access control lists, and establishing secure communication channels. However, this approach fundamentally fails to scale across heterogeneous systems and creates dangerous single points of failure. When autonomous agents need to coordinate across organizational boundaries, different blockchain networks, or diverse execution environments, the complexity of managing trust relationships grows exponentially. Each new integration requires establishing bilateral trust agreements, managing credential lifecycles, and maintaining secure communication infrastructure.
Furthermore, existing solutions typically address these security properties independently rather than providing a unified framework. Authentication systems verify identity but may not ensure message integrity. Encryption provides confidentiality but does not guarantee authenticity. Timestamp services can provide temporal ordering but may not prevent replay attacks. This fragmented approach leads to complex system architectures with multiple potential failure points and inconsistent security guarantees.
The emergence of cross-chain and multi-protocol environments has exacerbated these challenges. Autonomous agents operating in DeFi protocols, for example, may need to coordinate actions across multiple blockchain networks, each with different security models, consensus mechanisms, and trust assumptions. Traditional centralized coordination mechanisms become bottlenecks and introduce counterparty risks that undermine the decentralized nature of these systems.
What is needed is a cryptographic framework that provides unified security guarantees for autonomous agent coordination without requiring trusted third parties or centralized infrastructure. Such a framework must be mathematically sound, practically implementable, and compatible with existing blockchain and decentralized system architectures. It must enable agents to prove the authenticity, integrity, confidentiality, and temporal validity of their intentions through purely cryptographic means, allowing any party to verify these properties without relying on external authorities or shared trust assumptions.
This EIP addresses these fundamental challenges by proposing a cryptographic framework that composes standard cryptographic primitives in a novel way specifically designed for autonomous agent coordination. The framework enables direct agent-to-agent and agent-to-system coordination across organizational and protocol boundaries while maintaining strong security guarantees and preserving the decentralized nature of the underlying systems.
Specification
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 and RFC 8174.
Core Definitions
This specification defines a cryptographic framework for autonomous agent coordination based on the composition of standard cryptographic primitives. The framework introduces the concept of a "Secure Intent" as the fundamental unit of agent communication.
Definition 1 (Secure Intent): A secure intent is a cryptographic construct defined by the structured encoding:
SecureIntent = (I, σ) where I = len(C) || C || len(T) || T || len(M) || MWhere:
C = E_KR(P)is the encrypted payload whereP ∈ {0,1}*contains the agent's intentionT ∈ ℕis a Unix timestamp representing the intent's time-to-live (8 bytes, big-endian)M ∈ {0,1}*contains JSON-encoded execution metadatalen(x)denotes the 4-byte big-endian length prefix for field x||denotes binary concatenationσ = Sign_A(I)represents digital signature of I using agent A's private key
Definition 2 (Intent Validity): An intent (I, σ) is considered valid at time t if and only if:
Parse(I) ≠ ⊥(intent structure is well-formed)Verify_A(I, σ) = 1(signature verification succeeds)t ≤ T + CLOCK_TOLERANCE(temporal validity with clock skew tolerance)ValidateMetadata(M) = 1(metadata conforms to schema)
Where CLOCK_TOLERANCE is a system parameter (RECOMMENDED: 300 seconds).
Cryptographic Primitives
The framework relies on standard cryptographic primitives with specific security requirements:
Digital Signature Scheme: The framework requires a digital signature scheme (KeyGen, Sign, Verify) where:
KeyGen(1^λ) → (pk, sk): Generates a key pair with security parameter λ ≥ 256Sign(sk, m) → σ: Produces signature σ on message m using private key skVerify(pk, m, σ) → {0,1}: Outputs 1 if σ is a valid signature on m under public key pk
The signature scheme MUST satisfy existential unforgeability under chosen message attack (EUF-CMA). For Ethereum compatibility, ECDSA with secp256k1 curve is REQUIRED.
Public-Key Encryption Scheme: The framework requires a public-key encryption scheme (Gen, Enc, Dec) where:
Gen(1^λ) → (pk, sk): Generates a key pair with security parameter λ ≥ 2048 (RSA) or λ ≥ 256 (ECC)Enc(pk, m) → c: Encrypts message m under public key pkDec(sk, c) → m: Decrypts ciphertext c under private key sk
The encryption scheme MUST provide indistinguishability under chosen plaintext attack (IND-CPA). ECIES with secp256k1 is RECOMMENDED for Ethereum compatibility.
Key Management Requirements
Key Generation: All cryptographic keys MUST be generated using cryptographically secure pseudo-random number generators (CSPRNG) with entropy sources providing at least 256 bits of security.
Key Storage: Private keys MUST be protected using one of the following methods:
- Hardware Security Modules (HSMs) compliant with FIPS 140-2 Level 2 or higher
- Secure enclaves with remote attestation capabilities
- Software-based keystores with AES-256 encryption and secure key derivation
Key Distribution: Public key distribution MUST ensure authenticity through one of:
- On-chain registration with cryptographic proof of ownership
- Certificate authorities with verifiable trust chains
- Web-of-trust mechanisms with multi-party verification
- Self-sovereign identity systems with decentralized identifiers (DIDs)
Metadata Schema
The metadata component M MUST conform to the following JSON schema for interoperability:
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"required": ["version", "intent_type", "created_at", "chain_id", "gas_limit"],
"properties": {
"version": {
"type": "string",
"pattern": "^\\d+\\.\\d+\\.\\d+$",
"description": "Semantic version (e.g., '1.0.0')"
},
"intent_type": {
"type": "string",
"enum": ["swap", "transfer", "execute", "delegate", "bridge", "custom"],
"description": "Classification of intent purpose"
},
"created_at": {
"type": "integer",
"minimum": 1609459200,
"description": "Unix timestamp of intent creation"
},
"chain_id": {
"type": "integer",
"minimum": 1,
"description": "EIP-155 chain identifier"
},
"gas_limit": {
"type": "integer",
"minimum": 21000,
"maximum": 30000000,
"description": "Maximum gas for execution"
},
"priority": {
"type": "integer",
"minimum": 0,
"maximum": 255,
"description": "Execution priority level"
},
"dependencies": {
"type": "array",
"items": {
"type": "string",
"pattern": "^0x[a-fA-F0-9]{64}$"
},
"description": "Required predecessor intent hashes"
},
"constraints": {
"type": "object",
"description": "Additional validation rules"
},
"nonce": {
"type": "string",
"pattern": "^0x[a-fA-F0-9]{64}$",
"description": "Unique identifier for deduplication"
}
}
}EIP-712 Integration
For Ethereum wallet compatibility, intents MUST support EIP-712 structured data signing with the following domain and type definitions:
Domain Separator:
const domain = {
name: 'SecureIntents',
version: '1.0.0',
chainId: metadata.chain_id,
verifyingContract: '0x0000000000000000000000000000000000000000'
};Type Definitions:
const types = {
SecureIntent: [
{ name: 'encryptedPayload', type: 'bytes' },
{ name: 'timestamp', type: 'uint256' },
{ name: 'metadata', type: 'string' }
]
};Protocol Specifications
Intent Generation Protocol:
Input: Payload P, recipient public key K_R, metadata M, TTL T, agent private key s_A
Output: Secure intent (I, σ) or ⊥
1. Validate inputs:
- Verify |P| ≤ MAX_PAYLOAD_SIZE (65,536 bytes)
- Verify T > current_time
- Verify T ≤ current_time + MAX_TTL (86,400 seconds)
- Validate metadata M against JSON schema
2. Generate encrypted payload:
- C ← Enc(K_R, P)
3. Encode intent structure:
- I ← encode_length_prefixed(C, T, M)
4. Generate signature:
- σ ← Sign(s_A, I)
5. Return (I, σ)
function encode_length_prefixed(C, T, M):
return len(C) || C || len(T) || T || len(M) || MIntent Verification Protocol:
Input: Intent (I, σ), agent public key pk_A, current time t
Output: {VALID, INVALID, EXPIRED}
1. Parse intent structure:
- (C, T, M) ← decode_length_prefixed(I)
- If parsing fails, return INVALID
2. Check temporal validity:
- If t > T + CLOCK_TOLERANCE, return EXPIRED
3. Verify signature:
- If Verify(pk_A, I, σ) ≠ 1, return INVALID
4. Validate metadata:
- If ValidateMetadata(M) ≠ 1, return INVALID
5. Return VALID
function decode_length_prefixed(I):
offset = 0
C_len = read_uint32_be(I[offset:offset+4])
offset += 4
C = I[offset:offset+C_len]
offset += C_len
T_len = read_uint32_be(I[offset:offset+4])
offset += 4
T = read_uint64_be(I[offset:offset+8])
offset += 8
M_len = read_uint32_be(I[offset:offset+4])
offset += 4
M = I[offset:offset+M_len]
return (C, T, M)Cross-Chain Intent Coordination
Cross-Chain Intent Structure: Cross-chain intents extend the metadata with additional fields:
{
"source_chain": 1,
"target_chain": 137,
"bridge_protocol": "polygon-pos",
"atomic_execution": true,
"rollback_data": "0x...",
"inclusion_proof": {
"block_number": 18500000,
"merkle_root": "0x...",
"proof": ["0x...", "0x..."],
"leaf_index": 42
}
}Cross-Chain Atomic Execution Protocol:
Phase 1 - Commitment (Source Chain):
1. Submit intent to source chain commitment contract
2. Generate inclusion proof for intent commitment
3. Set execution timeout (recommended: 1 hour)
Phase 2 - Verification (Target Chain):
1. Submit intent + inclusion proof to target chain
2. Verify proof against source chain state root
3. Execute intent if verification succeeds
4. Generate execution proof
Phase 3 - Finalization:
1. If execution successful: Submit completion proof to source chain
2. If execution failed: Submit failure proof and trigger rollback
3. If timeout exceeded: Automatic rollback after timeout period
Rollback Protocol:
1. Verify timeout condition or explicit failure proof
2. Execute rollback transaction using rollback_data
3. Release locked resources on source chain
4. Emit rollback event for monitoring systemsCross-Chain Security Requirements:
- Inclusion proofs MUST be verified against finalized block headers
- Atomic execution MUST complete within specified timeout periods
- Rollback mechanisms MUST restore source chain state consistency
- Bridge protocols MUST provide fraud proof capabilities
Ethereum Integration
Smart Contract Interface:
pragma solidity ^0.8.19;
interface ISecureIntentVerifier {
struct Intent {
bytes encryptedPayload;
uint256 timestamp;
string metadata;
}
struct CrossChainProof {
uint256 sourceChain;
uint256 blockNumber;
bytes32 merkleRoot;
bytes32[] proof;
uint256 leafIndex;
}
function verifyIntent(
Intent calldata intent,
bytes calldata signature,
address agentAddress
) external view returns (bool valid, bool expired);
function executeIntent(
Intent calldata intent,
bytes calldata signature,
address agentAddress
) external;
function executeCrossChainIntent(
Intent calldata intent,
bytes calldata signature,
address agentAddress,
CrossChainProof calldata proof
) external;
function commitIntent(
bytes32 intentHash,
uint256 targetChain,
uint256 timeout
) external;
function rollbackIntent(
bytes32 intentHash,
bytes calldata rollbackData
) external;
event IntentExecuted(
address indexed agent,
bytes32 indexed intentHash,
uint256 timestamp,
uint256 gasUsed
);
event CrossChainIntentCommitted(
bytes32 indexed intentHash,
uint256 indexed targetChain,
uint256 timeout
);
event IntentRolledBack(
bytes32 indexed intentHash,
string reason
);
}Gas Cost-Benefit Analysis
The framework's gas costs must be evaluated against the value provided by secure coordination:
Break-Even Analysis: For intent values above approximately 0.1 ETH (at 20 gwei gas prices), the security and privacy benefits typically justify the ~5,000-55,000 gas overhead. Implementations SHOULD provide gas cost estimation tools to help agents make informed decisions.
High-Frequency Scenarios: For high-frequency coordination (>100 intents per hour), batch verification becomes essential. The 60% gas reduction for batched intents makes the framework economically viable for automated trading and yield farming applications.
Cross-Chain Premium: The additional ~30,000 gas for cross-chain operations is competitive with existing bridge protocols when the atomic execution guarantees and rollback protections are considered.
Optimization Strategies for Different Use Cases
Small-Value Operations: For intents below 0.01 ETH:
- Use intent aggregation services to amortize verification costs
- Implement delayed execution during low gas price periods
- Consider simplified metadata schemas to reduce storage costs
- Use batch processing with other complementary intents
High-Value Operations: For intents above 1 ETH:
- Implement redundant verification across multiple systems
- Use hardware security modules for enhanced key protection
- Consider additional metadata for audit trail requirements
- Implement real-time monitoring and alerting systems
High-Frequency Operations: For automated systems processing many intents:
- Implement sophisticated batching algorithms to maximize gas savings
- Use precomputed signature verification tables where applicable
- Optimize metadata schemas for specific use case requirements
- Implement dynamic gas price management and fee optimization
Cross-Chain Operations: For multi-chain coordination:
- Carefully select bridge protocols based on security and cost characteristics
- Implement intelligent timeout management based on network conditions
- Use cross-chain monitoring services to detect and prevent failures
- Consider insurance or bonding mechanisms for high-value operations
Economic Security Mechanisms
Anti-Spam Measures: Implementations MAY implement:
- Minimum gas price requirements for intent submission
- Economic bonding for cross-chain operations that forfeit bonds on failure
- Reputation systems that adjust processing priority based on historical behavior
- Rate limiting based on economic stake or historical performance
Incentive Alignment: The framework's design SHOULD encourage:
- Proper key management through gas cost incentives for valid intents
- Efficient intent design through metadata size-based pricing
- Network health through penalties for excessive rollback operations
- Infrastructure investment through fee sharing with service providers
Fee Structure Recommendations
Single-Chain Operations:
- Base verification fee: 5,000 gas
- Execution fee: 25,000 gas + operation-specific costs
- Metadata processing: 100 gas per KB of metadata
- Priority processing: 10-50% premium based on priority level
Cross-Chain Operations:
- Commitment fee: 35,000 gas on source chain
- Execution fee: 55,000 gas + proof verification costs on target chain
- Rollback fee: 30,000 gas on source chain (if needed)
- Bridge protocol fees: Variable based on bridge implementation
Optimization Incentives:
- Batch processing: 60% reduction per additional intent in batch
- Compressed metadata: 30% reduction for efficient encoding
- Long-term key usage: 20% reduction for established agent identities
- Network contribution: Fee reductions for providing infrastructure services
Security Properties
The framework provides the following formal security guarantees:
Theorem 1 (Authenticity): Under the assumption that the underlying signature scheme satisfies EUF-CMA security, no polynomial-time adversary can forge valid intents for honest agents with probability greater than negl(λ), where negl is a negligible function and λ is the security parameter.
Theorem 2 (Confidentiality): Under the assumption that the underlying encryption scheme satisfies IND-CPA security, no polynomial-time adversary can distinguish between encrypted payloads with advantage greater than negl(λ).
Theorem 3 (Temporal Integrity): For any intent with timestamp T, the probability that an adversary can cause acceptance of the intent at time t > T + CLOCK_TOLERANCE is 0, assuming honest verifiers.
Theorem 4 (Cross-Chain Consistency): Under the assumption that bridge protocols provide fraud-proof capabilities and finality guarantees, cross-chain intent execution maintains atomic consistency with probability 1 - negl(λ).
Rationale
The design of this cryptographic framework reflects careful consideration of the unique requirements of autonomous agent coordination in decentralized environments. Several key design decisions distinguish this approach from existing solutions and warrant detailed explanation.
Structured Encoding Approach
The move from simple concatenation to length-prefixed encoding addresses the critical parsing ambiguity while maintaining efficiency. Length prefixes provide unambiguous field boundaries without requiring complex delimiter escaping or variable-length encoding schemes. The 4-byte length prefixes support payloads up to 4GB while maintaining reasonable overhead for typical intent sizes.
This encoding approach enables streaming parsers and provides natural extension points for future protocol versions. The structured format also facilitates efficient verification in resource-constrained environments such as smart contracts.
Enhanced Cross-Chain Architecture
The atomic execution protocol addresses the fundamental consistency challenges in cross-chain coordination. By requiring explicit commitment phases, inclusion proofs, and rollback mechanisms, the framework provides stronger guarantees than simple message-passing approaches.
The timeout-based rollback mechanism ensures liveness even when target chains experience extended downtime or congestion. The fraud-proof requirement for bridge protocols ensures that cross-chain operations maintain security equivalent to the stronger of the two participating chains.
Key Management Integration
While maintaining implementation flexibility, the specification now provides concrete security requirements for key management. This guidance helps implementers avoid common pitfalls while supporting diverse deployment scenarios from hardware wallets to enterprise HSM systems.
The multiple options for key distribution acknowledge that different deployment contexts have varying trust assumptions and infrastructure requirements. The framework remains agnostic to specific solutions while ensuring minimum security baselines.
EIP-712 Wallet Integration
The complete EIP-712 specification enables seamless wallet integration and user verification workflows. This integration is crucial for scenarios requiring human oversight or approval, particularly for high-value or irreversible operations.
The structured data approach provides users with clear visibility into intent contents while maintaining the cryptographic guarantees of the framework. This transparency is essential for building user trust and enabling adoption.
Gas Optimization Strategy
The gas cost analysis and optimization techniques address practical deployment concerns in Ethereum's fee-sensitive environment. Batch verification capabilities enable cost-effective processing of multiple intents, crucial for high-throughput applications.
The optimization strategies maintain security properties while reducing operational costs, making the framework economically viable for a broader range of use cases.
Phased Implementation Approach
Given the complexity of the secure intent framework, a phased implementation approach is RECOMMENDED:
Phase 1 - Core Framework (6-12 months):
- Implement single-chain intent creation and verification
- Deploy basic smart contract interfaces
- Establish key management infrastructure
- Enable EIP-712 wallet integration
Phase 2 - Cross-Chain Coordination (12-18 months):
- Implement three-phase atomic execution protocol
- Integrate with established bridge protocols
- Deploy cross-chain monitoring infrastructure
- Establish cross-chain rollback mechanisms
Phase 3 - Optimization and Advanced Features (18+ months):
- Implement batch verification techniques
- Deploy specialized aggregation services
- Add privacy-preserving analytics
- Integrate with emerging quantum-resistant cryptography
Target Use Cases for Early Adoption
The framework is particularly well-suited for:
High-Value Coordination Scenarios:
- DeFi arbitrage strategies requiring confidentiality
- Cross-chain yield farming with private strategies
- Enterprise multi-agent coordination systems
- Competitive autonomous trading systems
Privacy-Critical Applications:
- Medical AI agents handling sensitive data
- Financial planning agents with confidential strategies
- Supply chain coordination with proprietary information
- Competitive intelligence and market analysis agents
Cross-Chain Operations:
- Multi-chain liquidity management
- Cross-chain governance coordination
- Bridge protocol automation
- Multi-chain compliance and reporting
Ecosystem Development Requirements
Successful adoption requires coordinated development across multiple ecosystem components:
Wallet Integration: Wallet developers SHOULD implement EIP-712 support for secure intents, enabling user review and approval of intent contents in structured formats.
Infrastructure Services: Service providers SHOULD develop specialized infrastructure including:
- Intent aggregation and routing services
- Cross-chain monitoring and alerting systems
- Key management and recovery services
- Gas optimization and batching services
Bridge Protocol Enhancement: Bridge operators SHOULD evaluate and implement support for:
- Inclusion proof generation and verification
- Atomic execution timeout handling
- Fraud proof mechanisms for intent operations
- Cross-chain rollback coordination
Developer Tools: Tool developers SHOULD create:
- SDK libraries for intent creation and verification
- Testing frameworks for cross-chain coordination
- Monitoring dashboards for intent analytics
- Integration plugins for existing DeFi protocols
Test Cases
Basic Intent Operations
// Test Case 1: Valid intent creation and verification
const agent = await generateKeyPair();
const recipient = await generateKeyPair();
const payload = "swap 100 USDC for ETH";
const metadata = {
version: "1.0.0",
intent_type: "swap",
created_at: Math.floor(Date.now() / 1000),
chain_id: 1,
gas_limit: 200000
};
const ttl = Math.floor(Date.now() / 1000) + 3600;
const intent = await createIntent(payload, recipient.publicKey, metadata, ttl, agent.privateKey);
const verification = await verifyIntent(intent, agent.publicKey, Math.floor(Date.now() / 1000));
assert(verification === "VALID");Temporal Validity Testing
// Test Case 2: Expired intent rejection
const expiredTtl = Math.floor(Date.now() / 1000) - 3600;
const expiredIntent = await createIntent(payload, recipient.publicKey, metadata, expiredTtl, agent.privateKey);
const expiredVerification = await verifyIntent(expiredIntent, agent.publicKey, Math.floor(Date.now() / 1000));
assert(expiredVerification === "EXPIRED");Cross-Chain Coordination
// Test Case 3: Cross-chain atomic execution
const crossChainMetadata = {
...metadata,
source_chain: 1,
target_chain: 137,
bridge_protocol: "polygon-pos",
atomic_execution: true,
rollback_data: "0x1234567890abcdef"
};
const crossChainIntent = await createIntent(payload, recipient.publicKey, crossChainMetadata, ttl, agent.privateKey);
const commitmentTx = await commitCrossChainIntent(crossChainIntent, 137, 3600);
const inclusionProof = await generateInclusionProof(commitmentTx.blockNumber, commitmentTx.transactionHash);
const execution = await executeCrossChainIntent(crossChainIntent, inclusionProof);
assert(execution.success === true);Security Property Validation
// Test Case 4: Signature forgery resistance
const maliciousAgent = await generateKeyPair();
try {
const forgedIntent = await createIntent(payload, recipient.publicKey, metadata, ttl, maliciousAgent.privateKey);
const forgedVerification = await verifyIntent(forgedIntent, agent.publicKey, Math.floor(Date.now() / 1000));
assert(forgedVerification === "INVALID");
} catch (error) {
// Expected: signature verification should fail
}Reference Implementation
import { createHash, randomBytes } from 'crypto';
import { generateKeyPairSync, sign, verify } from 'crypto';
import * as secp256k1 from 'secp256k1';
import { encrypt, decrypt } from 'eciesjs';
export class SecureIntentFramework {
private static readonly MAX_PAYLOAD_SIZE = 65536; // 64KB
private static readonly MAX_TTL_SECONDS = 86400; // 24 hours
private static readonly CLOCK_TOLERANCE = 300; // 5 minutes
public static async createIntent(
payload: string,
recipientPublicKey: Buffer,
metadata: IntentMetadata,
ttl: number,
agentPrivateKey: Buffer
): Promise<SecureIntent> {
// Validate inputs
const payloadBuffer = Buffer.from(payload, 'utf8');
if (payloadBuffer.length > this.MAX_PAYLOAD_SIZE) {
throw new Error('Payload exceeds maximum size');
}
const currentTime = Math.floor(Date.now() / 1000);
if (ttl <= currentTime || ttl > currentTime + this.MAX_TTL_SECONDS) {
throw new Error('Invalid TTL');
}
this.validateMetadata(metadata);
// Encrypt payload using ECIES
const encryptedPayload = encrypt(recipientPublicKey, payloadBuffer);
// Encode timestamp as 8-byte big-endian
const timestampBuffer = Buffer.allocUnsafe(8);
timestampBuffer.writeBigUInt64BE(BigInt(ttl), 0);
// Encode metadata as JSON
const metadataBuffer = Buffer.from(JSON.stringify(metadata), 'utf8');
// Create length-prefixed structure
const intentData = this.encodeLengthPrefixed(encryptedPayload, timestampBuffer, metadataBuffer);
// Generate signature using secp256k1
const hash = createHash('sha256').update(intentData).digest();
const signature = secp256k1.ecdsaSign(hash, agentPrivateKey);
return {
intentData: intentData.toString('base64'),
signature: Buffer.concat([
Buffer.from(signature.signature),
Buffer.from([signature.recid])
]).toString('base64')
};
}
public static async verifyIntent(
intent: SecureIntent,
agentPublicKey: Buffer,
currentTime: number
): Promise<'VALID' | 'INVALID' | 'EXPIRED'> {
try {
const intentData = Buffer.from(intent.intentData, 'base64');
const signatureBuffer = Buffer.from(intent.signature, 'base64');
// Parse intent structure
const { encryptedPayload, timestamp, metadata } = this.decodeLengthPrefixed(intentData);
// Check temporal validity with clock tolerance
if (currentTime > timestamp + this.CLOCK_TOLERANCE) {
return 'EXPIRED';
}
// Verify signature
const hash = createHash('sha256').update(intentData).digest();
const signature = signatureBuffer.slice(0, 64);
const recid = signatureBuffer[64];
const recoveredPubKey = secp256k1.ecdsaRecover(signature, recid, hash, false);
if (!agentPublicKey.equals(Buffer.from(recoveredPubKey))) {
return 'INVALID';
}
// Validate metadata
this.validateMetadata(metadata);
return 'VALID';
} catch (error) {
return 'INVALID';
}
}
private static encodeLengthPrefixed(
encryptedPayload: Buffer,
timestamp: Buffer,
metadata: Buffer
): Buffer {
const result = Buffer.alloc(
4 + encryptedPayload.length +
4 + timestamp.length +
4 + metadata.length
);
let offset = 0;
// Encrypted payload
result.writeUInt32BE(encryptedPayload.length, offset);
offset += 4;
encryptedPayload.copy(result, offset);
offset += encryptedPayload.length;
// Timestamp
result.writeUInt32BE(timestamp.length, offset);
offset += 4;
timestamp.copy(result, offset);
offset += timestamp.length;
// Metadata
result.writeUInt32BE(metadata.length, offset);
offset += 4;
metadata.copy(result, offset);
return result;
}
private static decodeLengthPrefixed(intentData: Buffer): {
encryptedPayload: Buffer;
timestamp: number;
metadata: IntentMetadata;
} {
let offset = 0;
// Read encrypted payload
const payloadLength = intentData.readUInt32BE(offset);
offset += 4;
const encryptedPayload = intentData.slice(offset, offset + payloadLength);
offset += payloadLength;
// Read timestamp
const timestampLength = intentData.readUInt32BE(offset);
offset += 4;
if (timestampLength !== 8) {
throw new Error('Invalid timestamp length');
}
const timestamp = Number(intentData.readBigUInt64BE(offset));
offset += 8;
// Read metadata
const metadataLength = intentData.readUInt32BE(offset);
offset += 4;
const metadataBuffer = intentData.slice(offset, offset + metadataLength);
const metadata = JSON.parse(metadataBuffer.toString('utf8'));
return { encryptedPayload, timestamp, metadata };
}
private static validateMetadata(metadata: IntentMetadata): void {
const required = ['version', 'intent_type', 'created_at', 'chain_id', 'gas_limit'];
for (const field of required) {
if (!(field in metadata)) {
throw new Error(`Missing required metadata field: ${field}`);
}
}
if (!/^\d+\.\d+\.\d+$/.test(metadata.version)) {
throw new Error('Invalid version format');
}
const validTypes = ['swap', 'transfer', 'execute', 'delegate', 'bridge', 'custom'];
if (!validTypes.includes(metadata.intent_type)) {
throw new Error('Invalid intent type');
}
if (metadata.gas_limit < 21000 || metadata.gas_limit > 30000000) {
throw new Error('Invalid gas limit');
}
if (metadata.chain_id < 1) {
throw new Error('Invalid chain ID');
}
}
}
export interface IntentMetadata {
version: string;
intent_type: 'swap' | 'transfer' | 'execute' | 'delegate' | 'bridge' | 'custom';
created_at: number;
chain_id: number;
gas_limit: number;
priority?: number;
dependencies?: string[];
constraints?: any;
nonce?: string;
// Cross-chain fields
source_chain?: number;
target_chain?: number;
bridge_protocol?: string;
atomic_execution?: boolean;
rollback_data?: string;
}
export interface SecureIntent {
intentData: string;
signature: string;
}Security Considerations
The security of this framework depends critically on the proper implementation and deployment of several components, each of which introduces specific security considerations that implementers must carefully address.
Cryptographic Implementation Security
The framework's security guarantees are only as strong as the underlying cryptographic implementations. Implementers MUST use cryptographically secure random number generators for all key generation and nonce creation. The secp256k1 curve implementation MUST be resistant to timing attacks and other side-channel vulnerabilities.
The length-prefixed encoding prevents parsing ambiguities but introduces potential integer overflow vulnerabilities. Implementations MUST validate length prefixes before allocation and ensure buffer bounds checking throughout the parsing process.
Key Management Security
Private keys MUST be protected according to the specified requirements. For high-value applications, hardware security modules provide the strongest protection against key extraction attacks. Software-based keystores MUST use memory protection techniques to prevent key material from being written to swap files or core dumps.
Key distribution mechanisms MUST prevent man-in-the-middle attacks during public key exchange. On-chain registration provides strong authenticity guarantees but requires careful management of registration permissions and validation logic.
Cross-Chain Security Considerations
The atomic execution protocol provides consistency guarantees but relies on the security of underlying bridge protocols. Implementers MUST validate that bridge protocols provide adequate fraud-proof mechanisms and finality guarantees before deployment.
Inclusion proofs MUST be verified against finalized block headers to prevent attacks based on chain reorganizations or temporary forks. The timeout mechanism provides liveness guarantees but MUST be set appropriately for the expected latency and finality characteristics of participating chains.
Smart Contract Security
On-chain implementation introduces additional attack vectors including reentrancy, gas limit manipulation, and front-running attacks. The reference smart contract interface provides security-focused design patterns but requires careful audit and testing before production deployment.
Gas optimization techniques MUST NOT compromise security properties. Batch verification provides efficiency gains but requires careful validation of individual intent authenticity within batches.
Operational Security
Clock synchronization requirements introduce potential attack vectors if adversaries can manipulate system clocks. Implementers SHOULD use secure time synchronization protocols and monitor for unusual clock skew patterns.
The framework's cryptographic operations consume computational resources that could be targeted in denial-of-service attacks. Rate limiting and resource quotas MAY be necessary to prevent abuse in high-throughput environments.
Economic Attack Mitigation
The framework SHOULD implement the following economic protections:
Gas Cost Monitoring: Track gas consumption patterns to detect potential resource exhaustion attacks. Implementations SHOULD implement dynamic gas limit adjustment based on network conditions and attack detection.
Priority-Based Processing: Use the priority metadata field to implement fair queuing mechanisms that prevent low-priority spam from blocking high-priority legitimate intents.
Economic Bonding: For high-value cross-chain operations, implementations MAY require economic bonds that are forfeited if operations fail due to agent misbehavior.
Quantum Resistance Considerations
While secp256k1 provides adequate security against classical attacks, implementers SHOULD begin planning for quantum-resistant transitions:
Algorithm Agility: Design key management systems to support multiple cryptographic algorithms to enable future migration to post-quantum cryptography.
Timeline Planning: Monitor NIST post-quantum cryptography standardization and quantum computing development to plan appropriate migration timelines.
Hybrid Approaches: Consider implementing hybrid classical/post-quantum signatures for critical applications requiring long-term security guarantees.
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