Blind Rendezvous Distributed Hash Table for Anonymous Peer Discovery Article Swipe
Venkata Rao Dechiraju
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17651213
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17651213
Anonymous Peer Discovery in Peer-to-Peer Networks and Distributed Systems is still a challenging problem because existing Distributed Hash Tables (DHTs) inherently reveal both the routing and the metadata of participation. This work presents Blind Rendezvous DHT (BR-DHT), a decentralized overlay that achieves query and publisher anonymity through rendezvous points that are cryptographically blinded. and embedded in the DHT Key space. Instead of direct Lookups, peers publish ephemeral rendezvous tokens, and queries are executed via multi-hop paths that conceal both the initiator and the responders' from intermediate nodes. BR-DHT integrates private information retrieval techniques with onion-style message wrapping to prevent linkage between storage and retrieval events while maintaining scalable DHT performance. This approach extends the privacy guarantees of existing anonymous communication systems to fully decentralized peer discovery
Related Topics
Concepts
Computer science
Distributed hash table
Scalability
Anonymity
Hash function
Rendezvous
Peer-to-peer
Computer network
Hash table
Joins
Distributed computing
Key (lock)
Metadata
Routing (electronic design automation)
Distributed database
Overhead (engineering)
Merkle tree
Alias
Hash chain
Overlay network
Replication (statistics)
Multihoming
Publication
Information retrieval
Information privacy
Distributed Computing Environment
Table (database)
Single point of failure
Server
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.17651213
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7106113674
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https://openalex.org/W7106113674Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17651213Digital Object Identifier
- Title
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Blind Rendezvous Distributed Hash Table for Anonymous Peer DiscoveryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-11-19Full publication date if available
- Authors
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Venkata Rao DechirajuList of authors in order
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https://doi.org/10.5281/zenodo.17651213Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.17651213Direct OA link when available
- Concepts
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Computer science, Distributed hash table, Scalability, Anonymity, Hash function, Rendezvous, Peer-to-peer, Computer network, Hash table, Joins, Distributed computing, Key (lock), Metadata, Routing (electronic design automation), Distributed database, Overhead (engineering), Merkle tree, Alias, Hash chain, Overlay network, Replication (statistics), Multihoming, Publication, Information retrieval, Information privacy, Distributed Computing Environment, Table (database), Single point of failure, ServerTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.inherently | 20 |
| abstract_inverted_index.integrates | 88 |
| abstract_inverted_index.rendezvous | 47, 67 |
| abstract_inverted_index.techniques | 92 |
| abstract_inverted_index.Distributed | 7, 16 |
| abstract_inverted_index.challenging | 12 |
| abstract_inverted_index.information | 90 |
| abstract_inverted_index.maintaining | 106 |
| abstract_inverted_index.onion-style | 94 |
| abstract_inverted_index.responders' | 83 |
| abstract_inverted_index.Peer-to-Peer | 4 |
| abstract_inverted_index.intermediate | 85 |
| abstract_inverted_index.performance. | 109 |
| abstract_inverted_index.communication | 119 |
| abstract_inverted_index.decentralized | 38, 123 |
| abstract_inverted_index.participation. | 29 |
| abstract_inverted_index.cryptographically | 51 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile.value | 0.82081719 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |