Secure, Scalable Policy -enforced distributed data processing · data quickly with fewer data items...
Transcript of Secure, Scalable Policy -enforced distributed data processing · data quickly with fewer data items...
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Secure, ScalablePolicy-enforceddistributed data processingusing blockchain technologies
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Improve passenger experience at airports
Improve efficienciesacross multi modal logistic chains
Increase fleet availability byimproving maintenance scheduling by estimating maintenance creditsfrom aircraft data.
Example use-cases from airline industry relevant todigital marketplace (c1) & blockchain research (c2).
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Maintenance Logistics driven by a digital twin
Aircraft Dispatch
OperationalData
OperatorContext & Maintenance Experience
Research use case
How to unlock fairand economicbig data assetsharing acrossairline operatorsas preconditionfor innovativealgorithm development
OEMSystem
Knowledge
AlgorithmDevelopment
AviationAuthorities
Certification Evidence
MaintenanceCredit
Estimate
DigitalTwinDigital
TwinDigitalTwin
nentAircraft System
AircraftAirworthiness
Maintenance Scheduling
Benefits
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Project descriptionConsider policy enforced data sharing and analysis across multiple IT domains based on negotiation of smart multi-party contracts to form temporary business alliances by:
investigating the value that blockchain technology will bringu Multidisciplinary fundamental and applied research
u Developing integrated solution for distributed dynamic data sharing
u Secure
u End-to-end trusted
u Scalable
u Future-proof
u Across multiple autonomous logistic domains
u Fundamental elements generically applicable
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Project Goals
u Prove value of distributed Blockchain approaches to logistic use-cases
u Future proof cryptographic approach (against quantum computing and other high performance compute technologies)
u Provide an environment allowing parties to create data sharing agreements(compliant to rules and agreements within a digital market place) guaranteeing secure and trustworthy real time sharing of (big) data
u Provide secure and trustworthy mechanisms for compliancy checking using provenance trails and audit trails, and mechanisms for dispute settlement in case of breaches
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Work packages
DL4LD (C1) WP2
DL4LD Use-Cases
Industrial Partner Use-Cases
Logistic Sector(C1) Use-Cases organized by
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WP 1Marc Stevens (PI), CWI Cryptology Group
Addresses challenges with future-proof (quantum-resistant) solutions based on cryptologic concepts that admit security proofs:
u Cryptographically secure ledger histories using non-parallelizable PoWsystems;
u Robust consensus protocols compatible with non-parallelizable PoW systems;
u Admit light-weight clients that cannot store or process entire blockchain:
u short cryptographic proofs of predicates, e.g., product stock is above order size, that a certain order has shipped;
u Mechanisms to share data privately to selected parties or specific purposes;
u Identity management, authentication and authorization
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WP 2Henri Bal, High.Perf. Dist.Comp G., VU
Develop a new high performance blockchain model
u High throughput of logistics information without scaling issues
u Bootstrapping, such that blockchain clients are able to synchronize blockchaindata quickly with fewer data items to download, making it acceptable for clients with restricted resources
u high performance (cryptographic) primitives for accelerators (e.g. GPU, Xeon Phi) to increase throughput in verification of information transactions
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WP3Tom van Engers, Fac. of Law, UvATijs van der Storm, Software Ana.&Transf., CWICees de Laat, System and Network Eng.Lab, UvASander Klous, Fac. of Science, UvAObjectives of this work package
u Allowing parties to create data sharing agreements compliant to the digital market place policy thus guaranteeing secure and trustworthy real time sharing of big data.
u Augment the smart contract approach with additional expressiveness for modelling business and legal context.
u Leverage formal modelling, simulation and diagnosis of legal-institutional arrangements in business process compliance settings,
u Provide secure mechanisms for compliancy checking using provenance trails and audit trails, and mechanisms for dispute settlement in case of breaches.
u Secure a chain of custody, based on programmable distributed trust infrastructures developed with WP1 and WP2,
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Data supplier(s)
Algorithm supplier(s)
Market rules
Law & Regulations
Member admission
DeploymentSpecification
InfrastructurePatterns
AgreementSecure Digital MarketplaceMember Organisation
Marketplaceinfrastructure
Customers
Registry
DisputeResolution
Accounting & Auditing
Future Internet Infrastructure:Software Definable - No Bandwidth Limitation
Business & Legal Research (C1)Computer Science Research (C1)Blockchain/Finance Research (C2)
Data Logistics 4 Logistic Data (C1) + Secure scalable policy-enforced distributed data processing (C2) research proposal overview
WP 3
WP 1/2