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Enrique Tomás Martínez Beltrán

Postdoctoral research in AI, cybersecurity and federated learning, spanning threat analysis, closed-loop cyberdefense and trustworthy decentralized learning.

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  2. Artificial Intelligence, Cybersecurity & Federated Learning Research
  3. TITAN: Trustworthy and Intelligent Threat Analysis
TITAN

TITAN: Trustworthy and Intelligent Threat Analysis

Collaborative research on decentralized threat analysis and verification

A project with armasuisse Cyber-Defence Campus investigating trustworthy threat intelligence sharing and verification algorithms.

TITAN: Trustworthy and Intelligent Threat Analysis
University of Murcia/Jan 2026 / Dec 2026
Period
Jan 2026 / Dec 2026
Status
Active
Institutional role
Academic partner
Partners
University of Murcia
Outcome
A project with armasuisse Cyber-Defence Campus investigating trustworthy threat intelligence sharing and verification algorithms.
CybersecurityCybersecurityThreat AnalysisTrustworthy AIDecentralized Systems

TITAN (Trustworthy and Intelligent Threat ANalysis) is a non-competitive research contract conducted during the academic year 2026 under the sponsorship of the Cyber-Defence Campus at armasuisse (Switzerland). The project is led by Prof. Gregorio Martínez Pérez at the University of Murcia.

Project Overview

In distributed cybersecurity ecosystems, sharing threat intelligence data remains a significant challenge due to concerns about information leakage, data integrity, and the lack of mutual trust between collaborative entities. Centralized threat sharing platforms introduce high security overheads and single points of failure.

TITAN addresses this challenge by designing algorithms and frameworks for trustworthy threat intelligence sharing in decentralized networks. The research focuses on verifying threat telemetry without introducing centralized coordinators.

Core Pillars

The TITAN project centers on:

  1. Decentralized Verification: Creating mathematical models to verify the authenticity and validity of threat reports shared by peers in a decentralized network.
  2. Trust Evaluation: Developing decentralized reputation metrics that dynamically score peer reliability based on historical telemetry checks.
  3. Privacy Safeguards: Integrating security protocols to ensure sensitive system logs and network telemetry are shielded during the verification process.

The TITAN project is conducted in collaboration with the armasuisse Cyber-Defence Campus.

Methodology

  • Decentralized trust verification for collaborative threat intelligence sharing.

Collaborating Team

University of Murcia

Academic partner

Conducts threat analysis, trust metrics design, and evaluation experiments.

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