The paper partitions global platforms into four classes by the cardinality of essential agents in multiagent atomic-transactions protocols, with proofs that centralised, decentralised, federated, and grassroots social-network specifications all meet the same correctness properties.
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IPFS - Content Addressed, Versioned, P2P File System
20 Pith papers cite this work. Polarity classification is still indexing.
20
Pith papers citing it
abstract
The InterPlanetary File System (IPFS) is a peer-to-peer distributed file system that seeks to connect all computing devices with the same system of files. In some ways, IPFS is similar to the Web, but IPFS could be seen as a single BitTorrent swarm, exchanging objects within one Git repository. In other words, IPFS provides a high throughput content-addressed block storage model, with content-addressed hyper links. This forms a generalized Merkle DAG, a data structure upon which one can build versioned file systems, blockchains, and even a Permanent Web. IPFS combines a distributed hashtable, an incentivized block exchange, and a self-certifying namespace. IPFS has no single point of failure, and nodes do not need to trust each other.
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representative citing papers
The paper constructs hash-linked evidence graphs that bind hardware measurement quantities to their verification records, enabling offline auditing with probabilistic matrix checks and security measures against probe attacks on GPUs.
PHDAG achieves depth-independent O(1) gas cost for appends in on-chain provenance registries, outperforming incremental Merkle trees beyond very small depths, with linear-time trustless reconstruction from event logs.
Derives closed-form availability law for moving-target circumvention systems and proves a sustainability frontier β* based on the domain burn rate β = λ_disc / λ_intro.
Intercloud achieves eventual consistency for decentralized economies using small Watcher swarms, ripple deduplication for termination, and chilling-effect consensus where finality comes from attesting absence of conflicts rather than voting.
The paper presents an active Sybil attack that fully eclipses IPFS content and proposes SR-DHT-Store, a region-based query defense that mitigates both passive and active attacks at low overhead.
DaiMoN introduces a decentralized ledger-based network for collaborative ML model improvement with label-hidden proof-of-improvement enabled by a novel learnable Distance Embedding for Labels (DEL) function.
Volitional multiagent atomic transactions model systems of people and machines by requiring both machine preconditions and human willingness for atomic actions, enabling safety and liveness analysis for grassroots platforms.
Large-scale IPFS measurements find DCUtR achieves a 70% conditional hole-punching success rate for both TCP and QUIC, independent of relays, with 97.6% of successes on the first attempt.
Presents a stateless ABR policy for IPFS video streaming using local signals and header-embedded state, with early results showing up to 6x QoE gains in faulty conditions.
The paper introduces an incentive-secure Proof-of-Learning protocol for blockchain consensus that claims provable security against two attacks, reduced computational overhead, and guarantees even with untrusted problem providers and verifiers.
Introduces and evaluates proof of training (PoT) protocol for verifiable decentralized machine learning model training using blockchain mining resources.
Safecloud is a client-encrypted distributed storage and streaming network using deterministic key derivation, convergent content addressing, and browser-based nodes for confidentiality without server trust.
A TAFES-compliant blockchain-as-a-service platform creates tamper-evident records for verifying fair trade certifications, demonstrated via a coffee supply chain proof-of-concept.
CP-ABE ciphertext keys published on the blockchain ledger enable local decryption and epoch-based revocation for IoT data sharing without re-encrypting payloads.
CONFETTY combines smart contracts and attribute-based encryption to enable confidential yet publicly verifiable process execution on public blockchains.
InsureConnect integrates blockchain, SSI, DIDs, VCs, satellite imagery, Hyperledger Fabric, and IPFS to register identities, contracts, and claims for improved transparency and auditability in property insurance after natural disasters.
citing papers explorer
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Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking
The paper constructs hash-linked evidence graphs that bind hardware measurement quantities to their verification records, enabling offline auditing with probabilistic matrix checks and security measures against probe attacks on GPUs.
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Parent-Hash DAG: A Cost Analysis of Constant-Time Append for On-Chain Registries
PHDAG achieves depth-independent O(1) gas cost for appends in on-chain provenance registries, outperforming incremental Merkle trees beyond very small depths, with linear-time trustless reconstruction from event logs.
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Block-A-Mole: The Sustainability Frontier of Moving-Target Censorship Resistance
Derives closed-form availability law for moving-target circumvention systems and proves a sustainability frontier β* based on the domain burn rate β = λ_disc / λ_intro.
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Intercloud: Eventual Consistency for Decentralised Economies via Chilling-Effect Consensus
Intercloud achieves eventual consistency for decentralized economies using small Watcher swarms, ripple deduplication for termination, and chilling-effect consensus where finality comes from attesting absence of conflicts rather than voting.
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Active Sybil attack and efficient defense strategy in IPFS DHT
The paper presents an active Sybil attack that fully eclipses IPFS content and proposes SR-DHT-Store, a region-based query defense that mitigates both passive and active attacks at low overhead.
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DaiMoN: A Decentralized Artificial Intelligence Model Network
DaiMoN introduces a decentralized ledger-based network for collaborative ML model improvement with label-hidden proof-of-improvement enabled by a novel learnable Distance Embedding for Labels (DEL) function.
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Volitional Multiagent Atomic Transactions: Describing People and their Machines
Volitional multiagent atomic transactions model systems of people and machines by requiring both machine preconditions and human willingness for atomic actions, enabling safety and liveness analysis for grassroots platforms.
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Large-Scale Measurement of NAT Traversal for the Decentralized Web: A Case Study of DCUtR in IPFS
Large-scale IPFS measurements find DCUtR achieves a 70% conditional hole-punching success rate for both TCP and QUIC, independent of relays, with 97.6% of successes on the first attempt.
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Stateless Network-Aware Adaptive Bitrate Streaming over IPFS
Presents a stateless ABR policy for IPFS video streaming using local signals and header-embedded state, with early results showing up to 6x QoE gains in faulty conditions.
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Proof-of-Learning with Incentive Security
The paper introduces an incentive-secure Proof-of-Learning protocol for blockchain consensus that claims provable security against two attacks, reduced computational overhead, and guarantees even with untrusted problem providers and verifiers.
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Can Blockchains Reliably Train Machine Learning Models?
Introduces and evaluates proof of training (PoT) protocol for verifiable decentralized machine learning model training using blockchain mining resources.
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Safecloud: A Distributed, Encrypted Storage Cloud for Streaming
Safecloud is a client-encrypted distributed storage and streaming network using deterministic key derivation, convergent content addressing, and browser-based nodes for confidentiality without server trust.
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A Blockchain-as-a-Service Solution for TAFES-Compliant Verification of Fair Trade Certifications
A TAFES-compliant blockchain-as-a-service platform creates tamper-evident records for verifying fair trade certifications, demonstrated via a coffee supply chain proof-of-concept.
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Revocation-Ready CP-ABE Key Management for Blockchain-Based IoT Data Sharing
CP-ABE ciphertext keys published on the blockchain ledger enable local decryption and epoch-based revocation for IoT data sharing without re-encrypting payloads.
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CONFETTY: A Tool for Enforcement and Data Confidentiality on Blockchain-Based Processes
CONFETTY combines smart contracts and attribute-based encryption to enable confidential yet publicly verifiable process execution on public blockchains.
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InsureConnect: Blockchain and Digital Identity for the Property Insurance Market
InsureConnect integrates blockchain, SSI, DIDs, VCs, satellite imagery, Hyperledger Fabric, and IPFS to register identities, contracts, and claims for improved transparency and auditability in property insurance after natural disasters.