Unit CyberTrust

CyberTrust addresses the need for full-spectrum Information Security by advancing resilient, trustworthy, and AI-enabled cyber defence systems that not only protect data, but also infrastructure and digital society against evolving threats. CyberTrust structured around six interconnected research pillars:

• Secure Networks, Infrastructure and Cloud Security
  (Encryption, secure communications, deep packet inspection, intrusion and anomaly detection, cloud and zero-trust security)

• Multimedia Security, Privacy and Digital Trust
  (Deepfake forensics, tamper detection, privacy-aware video surveillance analytics, watermarking and provenance, biometric security)

• Malware Defence and Threat Intelligence
  (Endpoint protection, sandboxing, malware evolution analysis, automated threat intelligence)

• Trusted AI Security and Emerging Threats
  (Adversarial ML defence, AI model & Data safety/poisoning resistance, social engineering, generative AI security)

• Trusted Computing and Cyber Resilience Architectures
  (Secure-by-design systems, trusted execution, blockchain based trust frameworks)

• Governance, Compliance and Responsible Information Security
  (Privacy-by-design systems, fully compliant (GDPR, NIS2 and DORA), risk management, regulatory assurance, responsible security governance)

The CyberTrust Unit aims to advance high-impact research and innovation in information security, privacy, and digital trust by bringing together academics, researchers (including Masters/PhD scholars), and industry partners within a collaborative interdisciplinary environment.

The vision of the CyberTrust Unit is to become a leading interdisciplinary hub aligned with the mission of the Data Science Institute, contributing to both fundamental research and applied innovation that strengthens secure, trustworthy, and resilient digital systems for society and industry.