Building the Foundation for Trusted Machine Communication

Working alongside industry leaders such as Bosch, Airbus, Continental, and leading Web3 projects, we contributed to building the technical and conceptual foundation for trusted machine-to-machine communication in the mobility sector. This included the secure exchange of credentials, decentralized data marketplaces, and AI-powered autonomous service interactions—all compliant with European data and privacy standards.

Demonstrating Real-World Impact: MOBIX Park & Charge

A standout achievement was the development and public demonstration of MOBIX Park & Charge, a fully operational system enabling electric vehicles (EV) to autonomously find parking spots, access charging stations, and handle payments. First showcased at IAA Mobility 2023, the system integrated SSI, blockchain-based payments, and AI agents in a live, real-world environment.

Scaling Toward Smart Cities

Beyond the demo, MOBIX has evolved into a scalable smart-city solution. By turning private EV chargers and parking spots into publicly accessible assets, we’re addressing key challenges in urban congestion and infrastructure scalability, while opening up new economic opportunities for individuals and municipalities.

Where Web3 Meets AI

The project also served as a powerful example of the convergence between AI and Web3. By combining intelligent agents with decentralized infrastructure, we demonstrated how machines can not only interact but also negotiate, transact, and self-optimize—laying the groundwork for more ethical and transparent digital ecosystems.

A Foundation for the Future

In sum, moveID wasn’t just about mobility. It showcased how decentralized identity, autonomous agents, and AI can reshape how devices, services, and users interact—not just in cities, but across industries. As the project concludes, its outcomes provide a strong foundation for future applications in smart infrastructure, data sovereignty, and the broader digital economy.

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Visualizing Sensor Data

The demonstrator has three core features. First, the data exploration tool lets you visualize sensor data from three different machines. For granularity, you can filter by machine, component, sensor, and the timeframe you want to monitor.

Verification & Anomaly Detection

Next, the anomaly detection feature, coupled with data integrity verification. Like before, you can filter by machine, component, sensor, and timeframe. Additionally, you choose from three anomaly detection algorithms—Local Outlier Factor (LOF), DBSCAN, and Isolation Forest—and adjust their hyperparameters. After that, once you lock in your configuration and submit the query, the system fetches data from a central time series database. It then converts the data into the standardized format described in our previous post.

To ensure trust, the Wallet Service verifies the dataset by comparing a freshly generated fingerprint to the one anchored on the blockchain. It uses the standardized batchID for this lookup. If the fingerprints match, the AI service proceeds with the anomaly detection. Whenever the number of anomalies exceeds a defined threshold, the system flags the component as worn out. Consequently, it submits an automatic spare part order to the ERP systems of the manufacturer and the customer.

Data Integrity Log

In this demonstrator, users manually trigger the configuration and execution of the anomaly detection. In contrast, a production system would automate and continuously run these steps. The third feature is a data integrity log to give users better visibility of what is happening. This audit trail has three levels: At the top level, it shows the health status of each machine and the last verified batch used for anomaly detection.

Next, it breaks down each machine into components, displaying health statistics for each

Finally, it presents detailed logs of every anomaly detection run and whether the data integrity check succeeded.

As we wrap up this blog post series, what began as a technical experiment has evolved into something much broader. It points toward a future of industrial intelligence that values transparency and built-in trust. By embedding trust directly into machine data and equipping AI with verified information, we do more than detect anomalies. We enable machines to communicate, collaborate, and maintain themselves. Ultimately, this proof of concept is a first step toward an Industry 4.0 landscape that is autonomous, secure, and transparent, where trust is not an afterthought but a foundation.

Curious how our blockchain-based data-integrity solution can help your business? Check out our one-pager for a quick overview of its key benefits!

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Need for Data Integrity

Securing data integrity in Industry 4.0 is crucial because systems and devices rely on accurate data to function effectively. Tampered or incorrect data can lead to poor decisions, operational failures, and vulnerabilities in key sectors like manufacturing and logistics. With IoT and AI driving Industry 4.0, maintaining data accuracy ensures reliable operations, protects sensitive information, and prevents cyber threats that disrupt businesses and critical infrastructure.

Anchoring data close to its source is essential for securing integrity across the entire data processing chain, which often involves multiple distributed systems. For machines, this means securing the data before it leaves the device. At the same time, the system must protect the anchored data from tampering after export. Blockchain’s immutable nature aligns perfectly with this paradigm. That’s why we built a Wallet Service on top of the Secret Network. This service integrates seamlessly into any machine to secure its data integrity in a decentralized and privacy-preserving manner.

Wallet Service

The Wallet Service acts as a gateway for communication with the Secret Network. It deploys onto any machine infrastructure that supports Docker. By using the Wallet Service, machines interact directly with the blockchain and its smart contracts. The service assigns each machine a unique identity through a public-private key pair. With its private key, the machine signs and broadcasts transactions to anchor its data on the Secret Network. The blockchain’s encryption ensures that no unauthorized third party can access the data. For details on how the network reaches consensus despite encryption, refer to our previous post.

Integration

To simplify integration, the Wallet Service offers a straightforward REST API with two endpoints. The ingress endpoint accepts a batch of data in a defined structure for anchoring. After receiving the data, the Wallet Service hashes it and stores the resulting hash in the service’s smart contract through a transaction on the Secret Network. This process creates an immutable fingerprint, allowing anyone to verify the integrity of a data batch through the Wallet Service’s verification endpoint. Since data verification typically occurs in systems other than the one that supplied the data, the Wallet Service supports deployment anywhere. In distributed data processing scenarios like Cosmic-X, entities that consume data instantiate a Wallet Service to verify data integrity before making decisions. For example, an AI service provider might deploy a Wallet Service in its cloud environment to verify data before using it for training or inference.

Requirements

Two conditions must be met for this workflow to function: first, the verifying Wallet Service must have the appropriate viewing key from the machine that supplied the data. Otherwise, it cannot decrypt and query the fingerprints stored in the smart contract. Second, the format and schema of the data batch must remain standardized across the processing chain. To achieve this, we developed a Data Integrity Protocol as the foundation of the Wallet Service.

Data Integrity Protocol

To anchor and verify data batches reliably, the Wallet Service requires a standardized protocol. Both the data anchoring and verification processes must adhere to a common data format, schema, and canonicalization standard. For Cosmic-X, we chose JSON as the data format and RFC 8785 as the canonicalization algorithm. Canonicalization ensures reliable cryptographic operations on JSON data by defining methods for handling whitespace, data types, and objects.

Batch Structure

Considering use case requirements and the limitations of edge and cloud environments in Cosmic-X, we define a data batch as one hour’s worth of sensor data collected from a machine. The figure below shows an extract of a data batch collected from one of the use cases. The batch includes a metadata object used only for the Wallet Service’s business logic. This metadata contains key-value pairs such as the batchId and placeholders for the payload hash and the transaction hash on the Secret Network blockchain. The payload, which the system hashes during anchoring, consists of discrete sensor measurements. Each measurement uses a composite key created by concatenating the variable name with the Unix timestamp of its recording. The measurements include key-value pairs for variable name, timestamp, absolute value, and data type.

The batchId is the most critical part of a data batch. Since the Wallet Service uses it to anchor and later locate the data batch for verification, the batchId must be unique. In this setup, the batchId combines a machine ID with a Unix timestamp representing the time range of measurements in the batch, rounded to the nearest hour. For example, if machine 2080839 collects measurements from 11:01:23 to 11:59:43 on May 16, 2024, the batchId becomes 2080839_1715853600.

In the next post, we’ll showcase how we integrated the Wallet Service with three live machines and an AI service to enable secure and accurate anomaly detection in machine components.

Curious how our blockchain-based data-integrity solution can help your business? Check out our one-pager for a quick overview of its key benefits!

The post Securing Data Integrity in Industry 4.0 appeared first on DATARELLA.

Evaluating Blockchain Platforms

Today, many different blockchain platforms exist, but their suitability for industrial use cases remains specific or, at times, limited. To achieve the best match between the requirements of Cosmic-X and the possibilities of blockchain technologies, the team conducted an extensive evaluation process. This evaluation compared both private and public blockchain platforms based on security, privacy, scalability, and interoperability.

Current-generation blockchain platforms predominantly perform well in security and scalability, yet privacy and interoperability often fall short. To achieve privacy in industrial scenarios like Cosmic-X, organizations have almost exclusively used private or consortium blockchains such as Hyperledger Fabric in the past. However, these approaches inherently involve high infrastructure costs for the operating parties, as well as centralization and limited interoperability. In contrast, public blockchains offer resilience, cost efficiency, and a degree of interoperability. Though only recently have they started focusing on privacy and data protection. Blockchain protocols with confidential computing capabilities remain relatively new and untested. Nevertheless, when weighing the advantages and disadvantages of the two approaches, a privacy-focused public network emerges as the preferred solution in an industrial context.

For a public network to meet Cosmic-X’s privacy and data protection requirements, it must support the multi-tenancy paradigm. Multi-tenancy enables a single instance of a software application to serve multiple clients while ensuring logical isolation. Different clients share an underlying infrastructure, which optimizes resource use and reduces infrastructure costs. Further, it enhances efficiency in data access, management, and collaborative data sharing.

Through this evaluation, the Cosmos-based Secret Network emerged as the blockchain platform best suited for Cosmic-X. The Secret Network functions as a public blockchain specifically developed for confidential computing. By combining established encryption techniques with trusted execution environments, it provides so-called Secret Contracts. This type of smart contract establishes consensus on computation without disclosing incoming or outgoing data. Integrated access control mechanisms enable third-party access and create an auditable processing chain. Thus, the Secret Network satisfies the need for multi-tenancy capability while retaining all the benefits of a public network.

How the Secret Network Works

The Secret Network leverages Intel Software Guard Extensions (Intel SGX) to create Trusted Execution Environments (TEE) that enable Secret Contracts. These smart contracts, based on the CosmWasm framework, allow for fully private computation of data. Outside a TEE, the transaction payloads and the network’s current state are encrypted at all times. Only the data owner and an authorized third party can decrypt and view data inputs and outputs. A combination of symmetric and asymmetric encryption schemes—ECDH (x25519), HKDF-SHA256, and AES-128-SIV—achieves this end-to-end encryption. Each validator in the network must run an Intel SGX-compatible CPU and instantiate a TEE that follows the network’s rules.

When an encrypted transaction arrives in the shared mempool of the network, a validator forwards it to their TEE, where a shared secret is derived and used to decrypt the transaction. The WASMI runtime then processes the plaintext input. Finally, the validator re-encrypts the updated contract state and broadcasts it to the network through a block proposal. If over two-thirds of the current network voting power agree on the result, the network appends the proposed block to the Secret Network blockchain.

For access control, the Secret Network offers Viewing Keys and Permits. A Viewing Key acts as an encrypted password that grants a third party permanent access to data related to a specific smart contract and private key. A Permit allows a more granular approach, restricting viewing access to specific parts of data for a set period. Consequently, despite its encrypted nature, the network remains fully auditable.

In the next post, we’ll explore how we leverage the Secret Network to secure machine data integrity directly from its point of origin to its consumption by a Machine Learning Model.

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The overarching goal of Gaia-X is to create a federated and secure data infrastructure for Europe and beyond that allows companies and citizens to share data without giving up control over it. Every ecosystem participant decides what happens to their data, where it is stored and thus always retains absolute data sovereignty. To achieve this, the Gaia-X architecture follows the principle of decentralization, with a multitude of individual platforms all following a common standard based on openness, transparency and trust.

The Gaia-X Federation Services, at the center of the visualization, are the implementation toolbox and minimum technical requirements and services that enable Gaia-X Federations to become operational and work together. Federations are individual participants that team up to create value for all participants and to open up new market potentials.

• The Identity & Trust service closes the trust gap by enabling federations to authenticate and authorize participants. This is achieved by utilizing Self-Sovereign Identity (SSI), specifically Decentralized Digital Identifiers (DIDs), Verifiable Credentials (VCs) and Verifiable Presentations (VPs), which ensure that every participant is in full control of their identity at all times.
• The Federated Catalogue service allows federations to set up a repository, in which participants can search for and discover information and services of other participants based on their aforementioned credentials.
• The Sovereign Data Exchange service helps participants in keeping sovereignty over their data by providing functionalities for specifying and tracking how their data is used.
• The Compliance service ensures that every participant and service is complying with the Gaia-X principles. Together with a number of decentralized services that are part of the Gaia-X policy, it provides decentralized, sovereign and immutable governance and control mechanisms that enable trustworthy transactions between participants.
• Lastly, the Gaia-X Portal provides user friendly access to the Federation Services and supports the onboarding and accreditation of participants as well as the discovery of services.

The Gaia-X Federation Services are co-developed by the GXFS-DE project, funded by the German Ministry of Economic Affairs and Climate Action (BMWK) and coordinated by eco – Association of the Internet Industry.

The Automotive & Mobility domain harbors three Gaia-X lighthouse projects, the Mobility Data Space, Catena-X and EONA-X. The Mobility Data Space is funded by the Federal Ministry for Digital and Transport (BMDV) and deals with the creation of a data marketplace that allows for the sovereign exchange of mobility data in Europe, Catena-X is funded by the BMWK and is tasked with establishing a trustworthy, collaborative, open and secure data ecosystem for the automotive industry. The objective of EONA-X is to establish a dedicated European data space for mobility, transport and tourism, developed on the path of the Gaia-X initiative. Funding is mostly provided by the private sector.

Datarella, as previously announced, is working on the moveID project, which, together with four related ventures, is part of the Gaia-X 4 Future Mobility project family. The goal of moveID is to develop a digital identity infrastructure and trustworthy data exchange process for the mobility of the future. Feasibility will be shown on the basis of two use cases, V2X services in heterogenous, decentralized mobility infrastructures and vehicle data sharing. moveID is funded by the BMWK and the interdisciplinary consortium of mobility enterprises, Web3 companies and research facilities is lead by BOSCH.

The Industry 4.0 sector features a German-Austrian joint Gaia-X lighthouse project, EuProGigant. It’s intention is to establish an ecosystem that enables the smart and sovereign use of data for production. Funding is provided by the BMWK and the Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK).

With KOSMoS, Datarella has already successfully finished a research project in the Industry 4.0 space by realizing a collaborative smart contracting platform for digital value networks. Now, based on these results, Datarella is also involved in the two followup Gaia-X projects Cosmic-X and ESCOM. Cosmic-X is funded by the Federal Ministry of Education and Research (BMBF) and deals with advanced smart services in the context of spare part supply chain automation and optimization. The specific use cases that will be explored are digital twins, trusted supply chains and platform-based maintenance. ESCOM is funded by the BMWK and seeks to make a demonstrable contribution to a responsible manufacturing industry regarding resource consumption and sustainable resource use. The project will demonstrate that the use and balancing of edge and cloud data spaces allows for the flexible, load- and energy demand-dependent use of services as a know-how offering of component manufacturers with high utility value for the end application. Both projects are carried out in collaboration with leading industry partners and research facilities.

We are incredibly proud to be contributing to the development of the Gaia-X ecosystem in two critical domains and hope that our illustration sheds some light on the work that has already been done and will continue to be done towards an open, transparent and secure data infrastructure for everyone.

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With the project, the consortium plans to make a demonstrable contribution to a responsible manufacturing industry regarding resource consumption and sustainable resource use. The project seeks to actively strengthen the innovative power of European industry and infrastructure providers and promote the emergence of socially relevant, freely consumable qualification offerings in the industrial and academic sectors. In this way, the consortium intends to provide an incentive for the relocation of global production capacities back to Europe.

The sustainable value proposition of a future configurable digital product instance is formulated as a digital twin of any machine component to reduce resource consumption via component information and increase machine availability and process reliability with condition and process information. The interdisciplinary consortium will demonstrate that the use and balancing of edge and cloud data spaces allows for the flexible, load- and energy demand-dependent use of services as a know-how offering of component manufacturers with high utility value for the end application. For this purpose, the consortium will use standards and open source software on the basis of the Gaia-X data infrastructure, which in the future will enable the exchange of smart service offerings of component manufacturers via the product service representation under the management shell concept of Plattform Industrie 4.0.

Owing to its experience in leveraging blockchain technology for real-world use cases (e.g. KOSMoS), Datarella is responsible for identifying relevant components, processes, data and blockchain plattforms as well as developing and implementing the services and sovereign data exchange processes that will enable an open, transparent and secure infrastructure.

We are very proud to be part of this project and looking forward to collaborating with all of the partners involved.

Project consortium

• Berger Holding GmbH & Co. KG
• GMN Paul Müller GmbH & Co. KG
• CONTACT Software GmbH
• Datarella GmbH
• Tvarit GmbH
• PTW TU Darmstadt
• Institut für Automation und Kommunikation e.V.
• Danobat-Overbeck
• DMG Mori AG

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Building on the results of joint project KOSMoS, the goal of the two year project is to use the Gaia-X industry data space (IDS) for provisioning advanced smart services (ASS) in the context of spare part supply chain automation and optimization.

The target group of COSMIC-X are machine tool manufacturers, component suppliers and machine operators, with a special focus given to assisting small and medium-sized enterprises (SMEs) in taking part in and profiting off of the Gaia-X ecosystem. The specific use cases that will be explored in close collaboration with industry partners SW, HAWE und KROHNE are digital twins, trusted supply chains and platform-based maintenance.

With its expertise in blockchain technology and self-sovereign identity (SSI), Dataralla is tasked with defining the technical requirements of the use cases and, based on these, develop a blockchain-based system architecture in conformance with the Gaia-X framework. This will ensure an open, transparent and secure infrastructure for data sharing and collaboration.

We are looking forward to working on this project with all of our partners and will keep you updated on the results.

Project consortium

• Schwäbische Werkzeugmaschinen GmbH
• HAWE Hydraulik SE
• Krohne Innovation GmbH
• Universität Stuttgart – ISW
• Hochschule Furtwangen – IDACUS
• Datarella GmbH
• inovex GmbH
• Stackable GmbH

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