Trustworthy and Intelligent Data Infrastructures: Distributed Ledger Technologies and Cybersecurity for automated Learning Systems
Abstract
The increasing adoption of Intelligent Data Engineering and Automated Learning (IDEAL) systems in critical sectors requires new approaches to ensure data integrity, transparency, and security. Distributed Ledger Technologies (DLT), including Blockchain, offer decentralized and tamper-evident infrastructures that can enhance trust, data provenance, and resilience in automated decision-making processes.
This special session explores the intersection of DLT, cybersecurity, and intelligent data systems, focusing on how these technologies can support secure and explainable machine learning, resilient data pipelines, and compliant data governance. Particular attention will be given to the specific challenges and opportunities in Ibero-American countries, including digital inequality, institutional capacity, and the need for inclusive innovation. In this context, trustworthy and adaptive technologies—those capable of ensuring transparency, robustness, contextual adaptability, and compliance with evolving regulations—are seen as essential pillars for enabling responsible digital transformation across strategic sectors such as healthcare, energy, education, and public administration.
Topics
We invite original contributions on theoretical and applied research including, but not limited to:
● Integration of blockchain and DLT with intelligent data pipelines
● Secure and privacy-aware machine learning on distributed data
● Trust frameworks for explainable and auditable AI models
● RAG-based Intelligent Retrieval and Trust Mechanisms
● Cybersecurity mechanisms for federated learning and multi-agent systems
● Provenance-aware data engineering using distributed ledgers
● Smart contracts for automating data lifecycle management and compliance
● Blockchain-based traceability in automated decision systems
● Scalable DLT infrastructures for real-time data ingestion and analytics
● Secure edge-to-cloud data architectures using DLT
● Use cases in Ibero-America for sustainable digital transformation via AI + DLT
Organizers
- Dr. Ana Isabel Azevedo – CEOS.PP/ ISCAP/ Polytechnic of Porto, Portugal (aazevedo@iscap.ipp.pt)
- Dr. Antonio Santos-Olmo – University of Castilla-La Mancha, Spain (Antonio.SantosOlmo@uclm.es)
- Dr. Óscar Carlos Medina – Universidad Tecnológica Nacional – Facultad Regional Córdoba, Argentina (oscarcmedina@gmail.com)
- Dr. Francisco José Quesada Real – University of Jaén, Spain (fqreal@ujaen.es)
This special session is organized in the frame of RIBCI – Iberoamerican Network of Blockchain and Cybersecurity.
Submission
See submission instructions for the conference at the call for papers. At the beginning of the submission, please choose the track “Trustworthy and Intelligent Data Infrastructures: DLT and Cybersecurity for ALS“.
Special Session Papers Submission Deadline for this workshop: July 1st, 2025