CapsuleStakeCoin

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Overview

A CapsuleStakeCoin is an on-chain advertisement that enables data owners to announce the availability of DIG Network capsules for hosting. Each CapsuleStakeCoin represents a single capsule and includes cryptographic proofs of size, collateral commitment, and hosting terms. Nodes use these advertisements to discover and select capsules for storage based on verified economic incentives.

Economic Parameters

All token amounts, collateral requirements, and economic thresholds mentioned in this document are illustrative examples only. Actual economic parameters will be determined later.

Purpose

CapsuleStakeCoins serve as both a discovery mechanism and an anti-spam filter for the DIG Network DataStore by providing:

Discovery & Hosting Coordination

• Verifiable size claims through cryptographic commitments
• Economic guarantees via locked collateral proportional to capsule size
• Self-contained proofs requiring no interaction between parties
• Network propagation of hosting opportunities through blockchain publication

Economic Spam Prevention

• Value-based filtering ensures only data publishers with genuine economic commitment participate
• Proportional collateral scales with capsule size, making spam attacks economically unfeasible
• Permanent hosting commitment - data remains available indefinitely as long as collateral is locked
• Self-selecting quality - publishers only commit valuable data worth the collateral cost

Technical Specification

CapsuleStakeCoin Structure

{
  "version": "1.0",
  "coin_id": "0x1234567890abcdef...",
  "capsule_offer": {
    "capsule_hash": "sha256:abc123def456...",
    "capsule_size": 1048576,
    "capsule_type": "1MB",
    "description": "Medical imaging data capsule",
    "content_category": "healthcare",
    "estimated_access_frequency": "low"
  },
  "size_proof": {
    "proof_type": "dig_fixed_capsule",
    "size_commitment_hash": "sha256:xyz789abc123...",
    "capsule_standard": "DIG_v1.0",
    "verification_algorithm": "sha256(capsule_hash + size_bytes + standard_id)"
  },
  "collateral_commitment": {
    "collateral_amount": 512,  // Illustrative amount - actual rates TBD
    "collateral_tx_hash": "0xdef456ghi789...",
    "collateral_status": "locked",
    "withdrawal_conditions": ["melt_capsulestakecoin", "hosting_violation"],
    "penalty_conditions": {
      "invalid_capsule": 100,  // Illustrative penalty percentages
      "false_size_claim": 100,
      "hosting_abandonment": 25
    }
  },
  "hosting_terms": {
    "hosting_duration": "indefinite",
    "collateral_lock_commitment": "permanent_until_melted",
    "geographic_preferences": ["US", "EU"],
    "redundancy_requirements": 3,
    "performance_tier": "standard"
  },
  "metadata": {
    "created_timestamp": "2025-06-07T15:30:00Z",
    "expires_timestamp": "2025-12-07T15:30:00Z",
    "owner_address": "0x742d35Cc6000C5f2b8C45c36CC7E8F8C00000000",
    "network_id": "DIG_mainnet",
    "coin_nonce": 42
  },
  "cryptographic_proof": {
    "owner_signature": "0x30450220...",
    "proof_hash": "sha256:fedcba987654...",
    "signature_algorithm": "ECDSA_secp256k1"
  }
}

Field Specifications

Capsule Offer Section

Field	Type	Required	Description
capsule_hash	string	Yes	SHA-256 hash of the complete capsule data
capsule_size	integer	Yes	Exact size in bytes (must match DIG standard)
capsule_type	string	Yes	One of: "256KB", "1MB", "10MB", "100MB", "1000MB"
description	string	No	Human-readable description of capsule contents
content_category	string	No	Category hint for hosting preferences
estimated_access_frequency	string	No	"high", "medium", "low" - performance hints

Size Proof Section

Field	Type	Required	Description
proof_type	string	Yes	Must be "dig_fixed_capsule"
size_commitment_hash	string	Yes	SHA-256 of (capsule_hash + size_bytes + standard_id)
capsule_standard	string	Yes	DIG Network version identifier
verification_algorithm	string	Yes	Algorithm description for proof recreation

Collateral Commitment Section

Field	Type	Required	Description
collateral_amount	integer	Yes	Amount of collateral locked (in network tokens)
collateral_tx_hash	string	Yes	On-chain transaction hash locking the collateral
collateral_status	string	Yes	Current status: "locked", "withdrawn", "slashed"
withdrawal_conditions	array	Yes	Conditions under which collateral can be withdrawn
penalty_conditions	object	Yes	Violation types and penalty percentages

Validation Rules

Capsule Size Validation

VALID_CAPSULE_SIZES = {
    "256KB": 262144,
    "1MB": 1048576,
    "10MB": 10485760,
    "100MB": 104857600,
    "1000MB": 1048576000
}

def validate_capsule_size(capsule_type: str, size: int) -> bool:
    return VALID_CAPSULE_SIZES.get(capsule_type) == size

Size Proof Validation

import hashlib
import struct

def validate_size_proof(offer, proof) -> bool:
    standard_id = "DIG_v1.0"
    
    # Convert size to bytes
    size_bytes = struct.pack('<Q', offer['capsule_size'])
    
    # Concatenate for commitment
    commitment_input = (
        offer['capsule_hash'].encode() +
        size_bytes +
        standard_id.encode()
    )
    
    expected_hash = hashlib.sha256(commitment_input).hexdigest()
    return f"sha256:{expected_hash}" == proof['size_commitment_hash']

Collateral Validation

Illustrative Example

The following collateral amounts are provided as an illustrative example of how economic value signaling could work. Actual collateral requirements will be determined later.

# Note: These values are illustrative. Actual collateral rates will be determined later.
MINIMUM_COLLATERAL_RATES = {
    "256KB": 64,
    "1MB": 256,
    "10MB": 1024,
    "100MB": 4096,
    "1000MB": 16384
}

def validate_collateral(capsule_type: str, amount: int) -> bool:
    return amount >= MINIMUM_COLLATERAL_RATES.get(capsule_type, float('inf'))

Cryptographic Requirements

Owner Signature

The owner_signature must cover the complete CapsuleStakeCoin excluding the signature itself:

import json
import hashlib

def create_signature_payload(coin: dict) -> str:
    """Create the payload to be signed by the owner"""
    # Deep copy to avoid modifying original
    signing_data = json.loads(json.dumps(coin))
    
    # Remove signature from signing data
    if 'cryptographic_proof' in signing_data:
        signing_data['cryptographic_proof']['owner_signature'] = None
    
    # Canonical JSON serialization
    return json.dumps(signing_data, sort_keys=True)

def sign_capsule_stake_coin(coin: dict, private_key: bytes) -> str:
    """Sign the CapsuleStakeCoin with owner's private key"""
    payload = create_signature_payload(coin)
    # Use appropriate signature library (e.g., ecdsa)
    # This is a placeholder for actual signature generation
    return sign_with_private_key(payload, private_key)

Proof Hash

The proof_hash provides tamper detection:

def calculate_proof_hash(coin: dict) -> str:
    """Calculate the proof hash for tamper detection"""
    proof_data = (
        coin['capsule_offer']['capsule_hash'] +
        coin['size_proof']['size_commitment_hash'] +
        coin['collateral_commitment']['collateral_tx_hash'] +
        coin['metadata']['created_timestamp']
    )
    
    return f"sha256:{hashlib.sha256(proof_data.encode()).hexdigest()}"

Anti-Spam Economic Model

Spam Prevention Through Economic Value Signal

CapsuleStakeCoins implement a powerful anti-spam mechanism by requiring economic value signal proportional to data size. The collateral is purely for signaling data value and preventing spam - it doesn't pay for hosting services:

def calculate_spam_attack_cost(target_size_gb: int = 1000) -> dict:
    """Calculate the economic cost of a spam attack"""
    
    # Note: Using illustrative collateral amounts - actual rates TBD
    # To spam 1TB of junk data across network:
    spam_capsules = target_size_gb  # 1000 × 1GB capsules
    collateral_per_capsule = 16384  # illustrative tokens per 1GB capsule
    total_spam_cost = spam_capsules * collateral_per_capsule  # 16,384,000 tokens
    
    return {
        "target_size": f"{target_size_gb}GB",
        "capsules_required": spam_capsules,
        "collateral_per_capsule": collateral_per_capsule,
        "total_cost": total_spam_cost,
        "economic_viability": "Prohibitively expensive - capital locked indefinitely"
    }

Value-Based Self-Selection

Publishers naturally filter their own data based on economic value:

High-Value Data (Medical records, legal documents, important backups)

• Publishers gladly lock substantial collateral for indefinite storage
• Economic commitment reflects true data value
• Permanent availability justified by importance

Low-Value Data (Temporary files, spam, low-quality content)

• Publishers unwilling to lock capital indefinitely
• Economic barrier prevents network pollution
• Self-filtering occurs at publication decision point

Junk Data (Malicious spam, attack vectors)

• Prohibitively expensive to maintain long-term
• Attackers cannot sustain indefinite collateral lock
• Network naturally purges uncommitted data

Collateral Lock Dynamics

class CollateralCommitment:
    def __init__(self, capsule_size: int):
        self.collateral_amount = self.calculate_collateral(capsule_size)
        self.lock_duration = "indefinite"  # No expiration unless melted
        self.withdrawal_method = "melt_capsulestakecoin"  # Recoverable by melting
        self.withdrawal_cost = "immediate_hosting_termination"
    
    def calculate_collateral(self, size_bytes: int) -> int:
        """Calculate required collateral based on capsule size"""
        # Note: These values are illustrative. Actual rates will be determined later.
        size_to_collateral = {
            262144: 64,      # 256KB (illustrative)
            1048576: 256,    # 1MB (illustrative)
            10485760: 1024,  # 10MB (illustrative)
            104857600: 4096, # 100MB (illustrative)
            1048576000: 16384 # 1000MB (illustrative)
        }
        return size_to_collateral.get(size_bytes, 0)
    
    def economic_value_signal(self) -> str:
        """
        Publisher signals data value through locked collateral.
        Collateral can be recovered by melting the CapsuleStakeCoin.
        Higher collateral = stronger quality signal, but doesn't pay for hosting.
        """
        return f"{self.collateral_amount} tokens locked as value signal until melted"
    
    def spam_deterrent_analysis(self) -> dict:
        """Calculate the economic barriers to spam attacks"""
        return {
            "capital_requirement": self.collateral_amount,
            "opportunity_cost": "indefinite_capital_lock",
            "spam_roi": "negative_indefinite",
            "attack_sustainability": "economically_impossible"
        }

Transaction Structure

CapsuleStakeCoins are published as blockchain transactions with the following structure:

{
  "transaction_type": "CAPSULE_STAKE_COIN",
  "version": "1.0",
  "from_address": "0x742d35Cc6000C5f2b8C45c36CC7E8F8C00000000",
  "data_payload": {
    "coin_data": "<complete_capsule_stake_coin_json>",
    "collateral_purpose": "economic_value_signal",
    "spam_prevention": true
  },
  "transaction_hash": "0x987654321abcdef...",
  "block_number": 12345678,
  "timestamp": "2025-06-07T15:30:00Z"
}

Publication Requirements

1. Transaction Fee: Standard blockchain transaction fee for publication
2. Collateral Verification: Referenced collateral transaction must exist and be valid
3. Size Proof Validity: All cryptographic proofs must verify
4. Signature Validation: Owner signature must be valid and match sender address
5. Economic Commitment: Collateral amount must meet minimum requirements for capsule size

Network Propagation

Upon successful publication:

1. Indexing: CapsuleStakeCoin is indexed by capsule_hash and capsule_type
2. Broadcast: Advertisement propagates to all network nodes
3. Discovery: Nodes can query available capsules by size, collateral, and terms
4. Monitoring: Collateral status is monitored for melting events

Collateral Recovery

Publishers can recover their locked collateral by melting the CapsuleStakeCoin:

def melt_capsulestakecoin(capsulestakecoin_id: bytes, owner_private_key: bytes) -> dict:
    """Melt CapsuleStakeCoin to recover locked collateral"""
    
    # 1. Verify ownership
    if not verify_ownership(capsulestakecoin_id, owner_private_key):
        raise ValueError("Only owner can melt CapsuleStakeCoin")
    
    # 2. Get collateral amount
    collateral_amount = get_collateral_amount(capsulestakecoin_id)
    
    # 3. Melt the coin and release collateral
    melt_transaction = create_melt_transaction(capsulestakecoin_id, owner_private_key)
    
    # 4. Effect on network
    # - Economic value signal disappears
    # - Storage providers lose hosting incentive  
    # - Network generally "forgets" about the data
    # - Collateral returned to owner
    
    return {
        "status": "melted",
        "collateral_recovered": collateral_amount,
        "hosting_status": "terminated",
        "transaction_hash": melt_transaction.hash
    }

Important Notes:

• Melting immediately removes the economic value signal
• Network generally "forgets" about the data (no more hosting incentive)
• Storage providers will likely remove the capsule once melted
• Collateral is fully recovered minus transaction fees
• Action is irreversible - cannot recreate same CapsuleStakeCoin

Node Implementation Requirements

Advertisement Discovery

from datetime import datetime
from typing import List, Optional, Dict

class CapsuleStakeCoinIndex:
    def __init__(self):
        self.by_capsule_type: Dict[str, List] = {}  # Index by size category
        self.by_collateral_amount: Dict[int, List] = {}  # Index by economic value
        self.by_expiration: Dict[datetime, List] = {}  # Index by time
    
    def add_offer(self, coin: dict):
        """Add a validated CapsuleStakeCoin to the index"""
        # Validate before indexing
        if self.validate_coin(coin):
            self.index_coin(coin)
    
    def validate_coin(self, coin: dict) -> bool:
        """Validate all aspects of the CapsuleStakeCoin"""
        try:
            validate_capsule_stake_coin(coin)
            return True
        except ValidationError:
            return False
    
    def index_coin(self, coin: dict):
        """Add coin to various indices"""
        capsule_type = coin['capsule_offer']['capsule_type']
        collateral = coin['collateral_commitment']['collateral_amount']
        expiration = datetime.fromisoformat(coin['metadata']['expires_timestamp'].replace('Z', '+00:00'))
        
        # Add to indices
        if capsule_type not in self.by_capsule_type:
            self.by_capsule_type[capsule_type] = []
        self.by_capsule_type[capsule_type].append(coin)
        
        if collateral not in self.by_collateral_amount:
            self.by_collateral_amount[collateral] = []
        self.by_collateral_amount[collateral].append(coin)
        
        if expiration not in self.by_expiration:
            self.by_expiration[expiration] = []
        self.by_expiration[expiration].append(coin)
    
    def find_offers(self, 
                   capsule_type: Optional[str] = None,
                   min_collateral: Optional[int] = None,
                   max_expiration: Optional[datetime] = None) -> List[dict]:
        """Query for CapsuleStakeCoins matching criteria"""
        results = []
        
        # Start with all coins or filtered by type
        if capsule_type:
            candidates = self.by_capsule_type.get(capsule_type, [])
        else:
            candidates = [coin for coins in self.by_capsule_type.values() for coin in coins]
        
        # Apply filters
        for coin in candidates:
            if min_collateral and coin['collateral_commitment']['collateral_amount'] < min_collateral:
                continue
            if max_expiration:
                expiry = datetime.fromisoformat(coin['metadata']['expires_timestamp'].replace('Z', '+00:00'))
                if expiry > max_expiration:
                    continue
            results.append(coin)
        
        return results

Hosting Decision Logic

# Economic signal thresholds (in DIG tokens)
# Note: These are illustrative values. Actual thresholds will be determined later.
MINIMUM_COLLATERAL_RATES = {
    'small': 10,    # < 100MB (illustrative)
    'medium': 50,   # 100MB - 1GB (illustrative)
    'large': 200,   # 1GB - 10GB (illustrative)
    'xlarge': 1000  # > 10GB (illustrative)
}

def should_accept_hosting_offer(coin: dict) -> bool:
    """
    Determine if a node should accept a hosting offer based on economic value signal.
    Collateral serves as spam filter and quality indicator, not payment for services.
    """
    
    # 1. Validate all cryptographic proofs
    if not validate_all_proofs(coin):
        return False
    
    # 2. Verify collateral is actually locked
    if not verify_collateral_on_chain(coin['collateral_commitment']):
        return False
    
    # 3. Check economic value signal
    capsule_type = coin['capsule_offer']['capsule_type']
    collateral = coin['collateral_commitment']['collateral_amount']
    min_required = MINIMUM_COLLATERAL_RATES.get(capsule_type, 0)
    
    if collateral < min_required:
        return False  # Below minimum economic signal threshold
    
    # 4. Assess storage capacity
    capsule_size = coin['capsule_offer']['capsule_size']
    if not has_available_capacity(capsule_size):
        return False
    
    # 5. Check hosting preferences
    if not meets_hosting_preferences(coin['hosting_terms']):
        return False
    
    return True

def validate_all_proofs(coin: dict) -> bool:
    """Validate all cryptographic proofs in the CapsuleStakeCoin"""
    # Validate size proof
    if not validate_size_proof(coin['capsule_offer'], coin['size_proof']):
        return False
    
    # Validate owner signature
    if not validate_owner_signature(coin):
        return False
    
    # Validate proof hash
    expected_hash = calculate_proof_hash(coin)
    if expected_hash != coin['cryptographic_proof']['proof_hash']:
        return False
    
    return True

def verify_collateral_on_chain(commitment: dict) -> bool:
    """Verify collateral is locked on blockchain"""
    # This would interface with blockchain to verify:
    # 1. Transaction exists
    # 2. Amount matches claimed amount
    # 3. Funds are actually locked
    # 4. Lock conditions match claimed conditions
    # Placeholder for actual implementation
    return True

def calculate_hosting_cost(capsule_type: str) -> int:
    """Calculate monthly hosting cost for capsule type"""
    # Note: These are illustrative costs. Actual hosting economics vary by provider.
    hosting_costs = {
        "256KB": 5,      # Illustrative cost
        "1MB": 20,       # Illustrative cost
        "10MB": 80,      # Illustrative cost
        "100MB": 320,    # Illustrative cost
        "1000MB": 1280   # Illustrative cost
    }
    return hosting_costs.get(capsule_type, 0)

def has_available_capacity(size_bytes: int) -> bool:
    """Check if node has storage capacity"""
    # Placeholder for actual storage check
    return True

def meets_hosting_preferences(terms: dict) -> bool:
    """Check if hosting terms are acceptable"""
    # Placeholder for preference matching
    return True

Security Considerations

Attack Prevention

False Size Claims

• Size proof cryptographically binds capsule hash to exact size
• Collateral can be slashed 100% for providing capsule with wrong size
• Verification requires only hash comparison - no data examination needed

Collateral Manipulation

• Collateral transactions are verified on-chain before acceptance
• Multi-signature or time-locked collateral prevents quick withdrawal
• Penalty conditions are enforced automatically by smart contracts

Spam Prevention

• Publication fees prevent advertisement spam
• Minimum collateral requirements filter out low-quality offers
• Expiration timestamps prevent stale advertisement accumulation

Privacy Protection

Content Privacy

• Only capsule hash and size are revealed - not actual content
• DIG Network's fixed sizes provide plausible deniability
• Content category hints are optional and generic

Economic Privacy

• Collateral amounts are visible but don't reveal data value
• Hosting terms don't expose business relationships
• Geographic preferences are optional and broad

Integration with DIG Network

Relationship to Capsules

Each CapsuleStakeCoin corresponds to exactly one DIG Network capsule:

Original Data → DIG Capsule → CapsuleStakeCoin → Network Hosting
     ↓              ↓              ↓              ↓
  Any size    Fixed size     Advertisement    Distributed
              (256KB-1GB)      On-chain        Storage

Capsule Lifecycle with Economic Filtering

1. Data Valuation: Publisher evaluates if data is worth collateral lock as value signal
2. Economic Value Signal: CapsuleStakeCoin creation requires proportional collateral
3. Network Filtering: Only economically-signaled data gets hosting attention
4. Hosting While Signaled: Data remains available while collateral provides economic signal
5. Network Forgetting: Publishers melt CapsuleStakeCoins for unworthy data, network "forgets" it
6. Quality Convergence: Network converges on high-value, economically-signaled data

DataStore Quality Assurance

The economic filter ensures the DIG Network DataStore contains only valuable data:

def accept_into_datastore(coin: dict) -> bool:
    """
    Multi-layered economic filtering before data enters storage.
    Collateral is pure economic value signal, not payment for hosting.
    """
    
    # Layer 1: Minimum economic value signal
    if not meets_minimum_collateral(coin):
        return False  # Below spam prevention threshold
    
    # Layer 2: Collateral locked on-chain
    if not verify_collateral_locked_indefinitely(coin):
        return False  # Economic signal must be genuine
    
    # Layer 3: Publisher reputation (future enhancement)
    if not meets_publisher_reputation_threshold(coin):
        return False  # Track record of quality data
    
    return True  # Data passes economic quality filter

def handle_capsulestakecoin_melted(capsule_hash: str) -> dict:
    """
    Handle melting event - network generally 'forgets' about the data.
    No more economic incentive means storage providers may remove it.
    """
    
    # When CapsuleStakeCoin is melted:
    # 1. Economic signal disappears
    # 2. Storage providers lose hosting incentive
    # 3. Network generally forgets about the data
    # 4. Content may be removed from storage
    
    return {
        "status": "economic_signal_removed",
        "hosting_incentive": "terminated", 
        "network_memory": "data_forgotten",
        "storage_recommendation": "may_be_purged"
    }

def meets_minimum_collateral(coin: dict) -> bool:
    """Check if collateral meets minimum requirements"""
    capsule_type = coin['capsule_offer']['capsule_type']
    actual = coin['collateral_commitment']['collateral_amount']
    required = MINIMUM_COLLATERAL_RATES.get(capsule_type, 0)
    return actual >= required

def verify_collateral_locked_indefinitely(coin: dict) -> bool:
    """Verify collateral is locked with no expiration (until melted)"""
    commitment = coin['collateral_commitment']
    return (commitment['collateral_status'] == 'locked' and 
            coin['hosting_terms']['collateral_lock_commitment'] == 'permanent_until_melted')

def meets_publisher_reputation_threshold(coin: dict) -> bool:
    """Check publisher reputation (future enhancement)"""
    # Placeholder for reputation system
    return True

Network Economics & Spam Prevention

Illustrative Example

The following economic barriers are shown with illustrative token amounts. Actual collateral requirements will be determined later.

Economic Barriers by Data Size:

Data Size	Collateral Required	Spam Attack Cost (1000 files)	Economic Deterrent
256KB	64 tokens*	64,000 tokens*	Prohibitive for low-value spam
1MB	256 tokens*	256,000 tokens*	Severe economic penalty
10MB	1,024 tokens*	1,024,000 tokens*	Massive capital requirement
100MB	4,096 tokens*	4,096,000 tokens*	Economically impossible
1000MB	16,384 tokens*	16,384,000 tokens*	Attack becomes irrational

*Illustrative amounts - actual rates will be determined later

Anti-Spam Properties:

• Value Signal Lock: Collateral remains locked as quality signal until melted
• Proportional Scaling: Larger spam requires exponentially more economic signal
• Opportunity Cost: Locked capital can't be used for profitable activities
• No ROI for Spam: Spam generates no revenue to offset signaling costs
• Network Forgetting: When spam is melted, network "forgets" the data (no hosting incentive)
• Self-Purging: Unprofitable spam naturally gets melted to recover collateral

Error Handling

Invalid CapsuleStakeCoin Detection

class ValidationError(Exception):
    pass

def validate_capsule_stake_coin(coin: dict) -> None:
    """Raises ValidationError if coin is invalid"""
    
    # Check required fields
    required_fields = ["capsule_offer", "size_proof", "collateral_commitment"]
    for field in required_fields:
        if field not in coin:
            raise ValidationError(f"Missing required field: {field}")
    
    # Validate capsule size
    capsule_type = coin['capsule_offer']['capsule_type']
    capsule_size = coin['capsule_offer']['capsule_size']
    if not validate_capsule_size(capsule_type, capsule_size):
        raise ValidationError("Invalid capsule size for type")
    
    # Validate size proof
    if not validate_size_proof(coin['capsule_offer'], coin['size_proof']):
        raise ValidationError("Size proof verification failed")
    
    # Validate collateral
    if not validate_collateral_on_chain(coin['collateral_commitment']):
        raise ValidationError("Collateral verification failed")
    
    # Validate signature
    if not validate_owner_signature(coin):
        raise ValidationError("Owner signature invalid")

def validate_owner_signature(coin: dict) -> bool:
    """Validate the owner's signature on the CapsuleStakeCoin"""
    try:
        payload = create_signature_payload(coin)
        signature = coin['cryptographic_proof']['owner_signature']
        owner_address = coin['metadata']['owner_address']
        
        # Verify signature matches owner address
        # Placeholder for actual signature verification
        return verify_signature(payload, signature, owner_address)
    except Exception:
        return False

def verify_signature(payload: str, signature: str, address: str) -> bool:
    """Verify cryptographic signature (placeholder)"""
    # Actual implementation would use appropriate crypto library
    return True

Graceful Degradation

• Partial Information: Nodes can work with subset of advertisement data
• Network Partitions: Local advertisement caches maintain operation
• Invalid Proofs: Bad advertisements are rejected without affecting valid ones
• Collateral Changes: Real-time monitoring adapts to melting events and status changes

Future Extensions

Planned Enhancements

• Reputation Scoring: Track owner reliability across multiple capsules
• Dynamic Pricing: Market-based collateral adjustment mechanisms
• Content Verification: Optional proofs of data integrity and authenticity
• Cross-Chain Support: Multi-blockchain collateral and advertisement support
• Performance Guarantees: SLA-based hosting terms with measurable metrics

Backward Compatibility

All future versions will maintain compatibility with v1.0 CapsuleStakeCoins through:

• Version field recognition and appropriate parsing
• Legacy proof validation support
• Migration paths for enhanced features
• Deprecation warnings with sufficient notice periods

Related Documentation

• Capsule Format - DIG Network capsule specification
• PlotCoin - Storage provider registration mechanism
• DataStore - On-chain data registry
• Token Model - DIG token economics