Javier Parada

Current research

• Cyber Threat Hunting: A proactive cybersecurity approach that identifies advanced threats before they cause harm. It employs anomaly analysis and cyber intelligence to detect malicious activity and strengthen system resilience.
• High Availability: Ensures that systems remain operational with minimal downtime, even during failures. It relies on redundancy, fault tolerance, and load balancing to maintain continuous service.

Ph.D. research

My Ph.D. research focuses on Cyber Threat Hunting in advanced distributed systems, using Cyber Intelligence for AI-driven anomaly detection and attack prediction. I aim to enhance proactive security and system resilience.

Education

• MSc. In Computer Engineering, University of Malaga (March, 2024)
• BSc. In Software Engineering, University of Malaga (October 2020)

Thesis

• MSc. Thesis: Tanukipot: HoneyPot Based on Digital Twins for Critical Infrastructures.
  This Master Thesis presents Tanukipot, a Honeypot capable of representing the exact image of a real and critical environment, adapting to the conditions of the application scenario, making use of the technological capabilities of the Digital Twins by functioning as a parallel environment to the real system with the ability to detect, anticipate and/or mitigate vulnerabilities. It also incorporates an additional system for the creation of intelligent agents, capable of attacking the system and thanks to which it can detect possible weaknesses in the design and configuration of the network.

• BSc. Thesis: Emergency Control and Prevention Platform.
  This platform serves as a centralized control hub for emergency services, enabling eQicient management and categorization of information from social media and other digital channels. It provides real-time monitoring and public access to emergency protocols in various formats, ensuring direct communication with citizens. Geolocated emergency data and QR code generation facilitate rapid information access. Civilians can also create QR codes for relevant local data. The platform ensures accessibility, featuring a section for recent emergencies and an advanced search tool for quick information retrieval.