distributed ledgers: how, why, and why not? · distributed ledgers: how, why, and why not? sarah...
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Distributed ledgers: how, why, and why not?
Sarah Meiklejohn (University College London)
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data consumers data producers
company
(icons by parkjisun from noun project)
company
company
company
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data consumers data producers
(icons by parkjisun from noun project)
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10 usability9 governance8 comparisons7 key management6 agility5 interoperability4 scalability3 cost-effectiveness2 privacy1 scalability
top ten obstacles for blockchains
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1 scalability
10 usability9 governance8 comparisons7 key management6 agility5 interoperability4 scalability3 cost-effectiveness2 privacy
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Bitcoin / blockchains / distributed ledgers
“mining”
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over 4 EH/s (4 × 1018 H/s) to achieve 7 tx/s!
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full state replication
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120 GB and (always) rising
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full state replication
↑ computational power ⇒ ↓ throughput
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monetary supplyledger centraldistributedecentral
decentral centralcentral
transparent? y y (or n) n
pseudonyms? y y (or n) n
computation high! low low
RSCoin
RSCoin [DM NDSS’16]
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mintettemintette
mintette mintette
bank
user
mintettes already reachconsensus before sending info to bank
mintettes store info onlywithin a given shard
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RSCoin consensus
mintette1
mintette1
user
1 2tx:
✓
3
4 service
mintette1
✓
1
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mintette2
mintette2
mintette2
1tx ✓✓2
tx
tx
simple adaptation of Two-Phase Commit (2PC)
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user
1 2tx:
service1
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t r a n s a c t i o n smintettemintettemintette
mintettemintettemintettemintettemintettemintette
mintettemintettemintettemintettemintettemintette
mintettemintettemintette
1 : 2 :
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mintette1
mintette1
user
1 2tx:
mintette1
1
service1
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mintettes check for double spending…
…using lists of unspent transaction outputs (utxo)
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mintette1
mintette1
user
1 2tx:
✓ mintette1
✓
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service1
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signed ‘yes’ vote
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mintette1
mintette1
user
1 2tx:
✓
3
service
mintette1
✓
1
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mintette2
mintette2
mintette2
1tx ✓✓2
“bundle of evidence” contains ‘yes’ votes from majority of mintettes in shard
mintettes check validity of bundle by checkingfor signatures from authorized mintettes…
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mintette1
mintette1
user
1 2tx:
✓
3
4 service
mintette1
✓
1
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mintette2
mintette2
mintette2
1tx ✓✓2
tx
tx
…and if satisfied they add transaction to be committed and send back receipt
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security properties
no double spending (if honest majority per shard)non-repudiationauditability (if mintettes log their behavior)
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consensus features
conceptually simpleno broadcastmintettes communicate only with usersno expensive hashing!scalable
↑ computational power ⇒ ↑ throughput
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T = set of txs generated per second Q = # mintettes per shard
M = # mintettes
comm. per mintette per sec = ∑tx∈T 2(mtx+1)Q
scales infinitely as more mintettes are added!
M
consensus features
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each new mintette adds≈ 75 tx/sec
compared to Bitcoin’s 7
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mintettemintette
mintette mintette
bank
user
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Elastico [LNZBGS CCS’16]
committee member
consensus committee
directory committee
committee member
committee member
committee member
run PBFT
run PBFT
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Elastico [LNZBGS CCS’16]
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1 scalability
10 usability9 governance8 comparisons7 key management6 agility5 interoperability4 scalability3 cost-effectiveness2 privacy
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8 comparisons
1 scalability
10 usability9 governance
7 key management6 agility5 interoperability4 scalability3 cost-effectiveness2 privacy
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mintettemintette
mintette mintette
bank
RSCoin [DM NDSS’16]user
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mintettemintette
mintette mintette
user
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user
log server log
log server log log server log
log server log
no unified log ⇒ no need for consensuscan (retroactively) detect inconsistencies between logs
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system
Log
CheckEntry
GenEventSet
Inspect
Gossip evidence
log server log
monitor snapBEE auditor snap
CheckEvidence
transparency overlays [CM CCS’16]
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system
LogGenEventSetGenEventSet
log server log
log server log log server log
log server log
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auditors (efficiently) determine if events are in the log
system
Log
CheckEntry
GenEventSet
(meaning |snap| ≪ |log|)
auditor snap
log server log
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monitors (inefficiently) detect bad events in the log
system
Log
CheckEntry
GenEventSet
Inspect
log server log
auditor snap monitor snapBEE
(meaning |E| ≈ |log|)
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auditors and monitors ensure consistent view of log
system
Log
CheckEntry
GenEventSet
Inspect
Gossip evidence
log server log
monitor snapBEE auditor snap
CheckEvidence
(can output evidence of inconsistencies)
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security properties
consistency: log server can’t offer different views of lognon-frameability: auditor and monitor can’t frame the logaccountability: log server is held to its promises
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log server log
monitor snapBEE auditor snap
prover verifier
? ?
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log server log
monitor snapBEE auditor snap
prover verifier
? ?
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Log
CheckEntry
Inspect
Gossip evidence
log server log
monitor snapBEE auditor snap
CheckEvidence
Bitcoin
sender receiverminer blockchain
sender and receiver don’t need to store blockchaingives rise to hybrid system (≈RSCoin) with no mining
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Log
CheckEntry
Inspect
Gossip evidence
log server log
monitor snapBEE auditor snap
CheckEvidence
Certificate Transparency [LL13]CA clientwebsite
bad certificate issuance is exposed⇒ clients are less likely to accept bad certificates
(icon by parkjisun from noun project)
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Log
CheckEntry
id provider log
auditor snap
CONIKS [MBBFF USENIX Sec’16]client client
(icon by parkjisun from noun project)
Inspect
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Log
CheckEntry
ILS log
validator snap
ARPKI [BCKPSS CCS’13]CA clientwebsite
(icon by parkjisun from noun project)
ILS log
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RSCoin
opaque centralized
transparent decentralized
what is this distance?
CONIKSARPKI
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security properties
consistencynon-frameabilityaccountability
no double spendingnon-repudiationauditability
⇔⇔⇔
privacy (of what)?privacy (of what)?
(transparency overlays) (RSCoin)
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RSCoin
opaque centralized
transparent decentralized
what is this distance?
what security properties to look for?
CONIKSARPKI
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8 comparisons
1 scalability
10 usability9 governance
7 key management6 agility5 interoperability4 scalability3 cost-effectiveness2 privacy
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1 scalability
10 usability9 governance
7 key management6 agility5 interoperability4 scalability3 cost-effectiveness2 privacy
Thanks! Any questions?
8 comparisons
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