Stealth Address
Stealth Address: Private Payment Destinations
Stealth addresses create unique, one-time addresses for each transaction to enhance privacy by breaking the link between payments and recipient identities. They're like using a different PO box for every package delivery so no one can track all your mail to the same location.
Stealth addresses are unique, one-time payment destinations generated for each transaction that hide the connection between payments and recipient identities while maintaining the ability to receive and spend funds. This technology significantly enhances transaction privacy in cryptocurrency systems.
How Stealth Addresses Work
Address generation creates unique payment destinations for each transaction using cryptographic techniques that link to the recipient's master keys.
Link breaking prevents blockchain analysis from connecting multiple payments to the same recipient by using different addresses each time.
Fund access enables recipients to detect and spend payments sent to their stealth addresses using their private master keys.
[IMAGE: Stealth address mechanism showing sender → unique address generation → transaction → recipient detection → fund access]
Real-World Examples
- Monero transactions using stealth addresses by default to hide recipient identities in every transaction
- Ethereum stealth payments through experimental implementations that add privacy to normally transparent transactions
- Privacy-focused wallets implementing stealth address functionality for enhanced transaction confidentiality
Why Beginners Should Care
Enhanced privacy from stealth addresses that prevent others from tracking your transaction history or account balances.
Identity protection avoiding the correlation of cryptocurrency addresses with real-world identities through address reuse analysis.
Optional implementation in many cryptocurrencies where stealth addresses provide additional privacy for users who need enhanced confidentiality.
Related Terms: Privacy, Monero, Transaction Privacy, Address Clustering