R&I group

Cybersecurity & Blockchain

The Cybersecurity & Blockchain research group focuses on developing innovative approaches to secure next-generation ICT systems against evolving threats while safeguarding privacy and enabling trust. This research group addresses critical challenges arising from modern information and communication technologies’ increasing complexity, distribution, and openness. This research group integrates cutting-edge techniques in distributed ledger technologies (DLT), AI, and cryptography to tackle cybersecurity challenges, ensuring that digital systems remain secure, private, and trustworthy in a rapidly evolving technological landscape.

Research lines

  • Cybersecurity: the Cybersecurity Research Line focuses on advancing holistic security management and cyber-threat detection & mitigation through automation, AI, and big data analysis for distributed and heterogeneous environments. Key efforts involve designing protective measures for AI models (Safe AI) and integrating quantum-safe cryptographic techniques into future systems, especially 6G networks, to ensure resilience against emerging threats.

Innovation lines

  • Blockchain: the Blockchain Innovation Line at i2CAT focuses on Decentralized Cybersecurity Approaches, leveraging blockchain as a trust enabler to empower citizens with data sovereignty and secure digital interactions. It also advances data privacy-first, verifiable and traceable solutions and sensitive information protection (like GDPR compliance) using decentralized identity management and cryptographic schemes for next-generation networks.

Technologies

  • Cyber Security as a Service
  • Risk Assessment and Management
  • Privacy Enhancing Technologies (PET)  for Data
  • Zero-knowledge proof (ZKP) &  Verifiable Computation
  • Identity Management Self-Sovereign Identity (SSI)
  • Robustness  of AI Systems
  • Decentralised solutions and service automation for 5G/6G network management
  • Data Sharing and monetisation while preserving privacy & control

Group leader

Shuaib Siddiqui

Cybersecurity & Blockchain

Publications

Evaluating and Enhancing Intrusion Detection Systems in IoMT: The Importance of Domain-Specific Datasets

Jordi Doménech, Olga León, Muhammad Shuaib Siddiqui, Josep Pegueroles, Evaluating and enhancing intrusion detection systems in IoMT: The importance of domain-specific datasets, Internet of Things, Volume 32, 2025, 101631, ISSN 2542-6605, https://doi.org/10.1016/j.iot.2025.101631

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Cybersecurity & Blockchain

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