| ONTOCHAIN.NGI.EU 2 MFSSIA - Challenges addressed Describing the challenges addressed ● Rising machine-to-everything (M2X) economy ○ M2X position paper is available as open access ● Web3, DeFi, Oracles, DAOs, NFT all need to be trusted and them trust others ● Trust establishment between systems,devices, organizations, humans ● Single sign-on (SSO) identity authentication (IA) not suitable for M2X ● Fixed challenges limited to maximum 5 for IA ● IA often controlled by governments, e.g., Estonian ID card ○ Risk to be limited, censored, cancelled ○ Social credit score assigned
| ONTOCHAIN.NGI.EU 3 MFSSIA - Challenges addressed Running case description - Basic MFSSIA lifecycle System Device Organization Human System Device Organization Human Source: https://arxiv.org/pdf/1609.04955.pdf
| ONTOCHAIN.NGI.EU 4 MFSSIA - Our Approach ● Distributed data connected to with decentralized knowledge graphs (DKG) ○ Unified view creation ○ Capturing case semantics ○ Expressing challenges/responses ● Oracles for supporting evaluation ○ Fact-checking data deliverance ○ Proof-of-Contribution (PoCo) for computing entities ● Gateways for connecting different blockchains ○ Multiple challenges must be passed with correct responses first ○ MFSSIA green/red-lights connection ○ Followed by sensitive data exchange ● Smart contracts (Solidity) for multi-factor identity authentication Approach for the MFSSIA Development
| ONTOCHAIN.NGI.EU 5 MFSSIA - Our Approach ● Distributed data connected to with decentralized knowledge graphs (DKG) ○ Unified view creation ○ Capturing case semantics ○ Expressing challenges/responses ● Oracles for supporting evaluation ○ Fact-checking data deliverance ○ Proof-of-Contribution (PoCo) for computing entities ● Gateways for connecting different blockchains ○ Multiple challenges must be passed with correct responses first ○ MFSSIA green/red-lights connection ○ Followed by sensitive data exchange ● Smart contracts (Solidity) for multi-factor identity authentication Approach for the MFSSIA Development
| ONTOCHAIN.NGI.EU 7 MFSSIA - Technology Stack Technology Stack of MFSSIA ● ONTOCHAIN projects: ○ DKG from OriginTrail.io, oracles from iEx.ec, gateways from PerunX (perun.network) ● Amazon Web Services (AWS) and Elastic Compute Cloud (Amazon EC2) ○ Scalable computing capacity ● SpringBoot with Docker supports the DKG REST client implementation ● RPC interfaces for off-chain communication by smart contracts ● JSON structures that the ontologies are mapped into ● Node.js as an asynchronous event-driven JavaScript runtime ○ For scalable application development ● Ethereum and Polygon as smart-contract systems that must be connected ● Java Spring Framework for stand-alone enterprise applications ● Angular (Google) for typescript-based web applications
| ONTOCHAIN.NGI.EU 8 MFSSIA - Benefits for ONTOCHAIN Benefits with MFSSIA ● Integration option with other projects, for example: ● ADOS: for IA of IoT-devices along their lifecycles ● PiSwap: for checking the legitimacy of NFTs ● REPUTABLE: for integrating reputation indicators into challenges/responses ● PS-SDA: for GDPR compliant private data use in challenges/responses ● DART: oracles with privacy-preserving data traceability ● DESMO-LD: oracles for trusted linked quality data in compliance audits ● DW-marking: to prevent dishonest data sellers and malicious buyers ● GEONTOLOGY: for determining geographic data source ● SOLID-VERIF: to verify credentials ● TENACIOUS: trustworthy semantics-aware interoperable cloud services
| ONTOCHAIN.NGI.EU 9 MFSSIA - End User Benefits Benefits with MFSSIA ● MFSSIA is a flexibly configurable and scalable fact-checker system ● Blockchains allow for immutable provenance tracking of events ● Arbitrary number of challenges ● Responses are evaluated with oracles, potentially of diverse types ● Multi purpose trust-establishment solution for the M2X economy ○ Systems, devices, organizations, humans ● Automates trust management away from expensive and slow bureaucrats ● Extensible with many other (not only) ONTOCHAIN projects ● Potentially enormous savings in time and costs ○ E.g., intercontinental B2B transactions such as with large-scale Alibaba purchases
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