WeAreDevelopers LIVE May 16, 2021

Nano services and dust return transactions + long chain

Matej Trampuš , Steve Shadders

Are restrictive ancestor limits bottlenecking your high-volume blockchain applications? Discover how dust return transactions and IP-based alerts enable infinitely scalable, immediate-settlement nano services natively on-chain.

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#1 about 5 min

Identifying the privacy impacts of the dusting attack

How attackers deanonymize users by distributing small fractions of cryptocurrency to public addresses.

#2 about 4 min

Leveraging dust return transactions to clean up wallets

Donating uneconomical transaction outputs to miners removes attacker incentives and clears network storage.

#3 about 9 min

Scaling nano services using consolidation transactions

Bundling highly fragmented outputs allows microservices like insurance and sales tax routing with zero fees.

#4 about 5 min

Validating conditions and limits for consolidation transactions

Bypassing complex calculation criteria by following minimum input thresholds and confirmation block rules.

#5 about 9 min

Overcoming the ancestor transaction limit via mempool partitioning

Splitting primary and secondary mempools enables efficient validation of long unconfirmed transaction chains.

#6 about 8 min

Implementing double spend notifications via localized callback servers

Alerting merchants of conflicting transactions using embedded protocol identifiers and direct peer routing.

Matching moments

6:23 min

Understanding double spending patterns and block network topology

Jad Wahab · LIVE

3:26 min

Consolidating transaction outputs to manage unconfirmed limits

Jimmy Nguyen +1 · LIVE

3:38 min

Evolving infrastructure from standard miners to dedicated transaction processors

Jad Wahab · LIVE

5:19 min

Navigating practical security trade-offs for merchant transactions

Jad Wahab · LIVE

3:27 min

Addressing personal data valuation and immutable blockchain storage challenges

Darrel Idiagbor Darrel Idiagbor · WWC 2023

2:48 min

Managing blockchain data storage and history scaling

Brian Whippo Brian Whippo · Coffee With Developers

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