Trustworthy, secure and reliable ICT systems are crucial for a wide take up of converging digital services and a global requirement for the reliable and undisturbed functioning of our information society.
In this scenario, the Cybersecurity (CS) lab is an interdisciplinary group that conducts research in the trust, security and privacy domains for the improvement of information technology security, as well as the increase of trust and dependability in systems and services.
Our ambition is to coherently address security, trust and privacy from a technological perspective, in an effort to ensure innovation in the field of secure software development, secure service composition, and secure service delivery. The goal is to find solutions for ensuring the security of citizens and organizations from threats such as terrorism, natural disasters and crime, while respecting fundamental rights, such as privacy.
Our research areas include, among others: cyber security, compliance & policy management, secure software engineering, security in virtualized environments, automated reconfiguration of security and high performance Security Information and Event Management (SIEM) systems.
- Innovative security mechanisms (e.g. dynamic or adaptive features).
- Compliance & Policy Management.
- Security event and information management infrastructure (e.g. evidence-based policy enforcement, including security/privacy event monitoring, collection and assessment).
- Security methodologies and frameworks (e.g. risk assessment and secure software development).
- CyberSecurity: fight against malware and botnets, improved resilience against cyber threats.
- Security in shared service applications and infrastructures such as Cloud.
- Security & Privacy in Social Networks.
- Security of ICT in large distributed IT systems (sensor networks, interconnected critical infrastructures).
- Information exchange, interoperability and data fusion for situational awareness.
- Context-aware security and context-aware privacy protection.
- Digital forensics (e.g. forensics in Cloud).
- Trust (establishment of trust relations, management of trust).
- High Performance Security Information and Event Management (SIEM).
- High Performance Compliance Management, including: Evidence Collection, Compliance Assessments and Accountability.
- Privacy by Design, Context-aware privacy enhancement and privacy preservation.
- Security for Virtualized environments.
- Secure Software Engineering.
- Automated Reconfiguration of Security.
- Risk and cost-driven security decision making.
- Prevention of crime and efficient collaboration of police forces.
- Data protection technologies and applications.
- Botnets detection and mitigation.
Bringing together organizations from 14 European countries, including public administrations, private sector and academia, in order to achieve a sustainable victory over a powerful cyber threat commonly known as botnet.
A holistic solution enabling trust and security by-design for Cyber Physical Systems (CPS) based on IoT and Cloud architectures.
Creation of an unified security framework that orchestrates state-of-the-art heterogeneous security products to offer high levels of protection in Information Technology and Operational Technology departments of Critical Infrastructures.
Creation of a digital automation framework that optimizes the manufacturing processes by exploiting existing data, knowledge and tools to increase productivity and dynamically adapt to changing market requirements.
The DiSIEM project aims to enhance existing SIEM systems with diversity-related technology.More specifically, we want to (1) enhance the quality of events collected, (2) add support for collecting infrastructure-related information from open-source intelligence data, (3) create new ways for visualising the information collected in the SIEM and provide high- level security metrics and models for improving security-related decision project, and (4) allow the use of multiple storage clouds for secure long-term archival of the raw events feed to the SIEM.
Architectural framework for dependable, reliable, and secure networks of heterogeneous smart objects supporting innovative Smart City applications.
Unified framework where resulting primitives are integrated, while following the end-to-end security principle as closely as allowed by functional and non-functional requirements.
Implementation of a privacy platform software components leveraging on existing software, tools and methodologies, which partners have developed in previous projects.
Action that puts cyber-risk management at the heart of good business practice, benefiting critical infrastructure and process owners, and ICT-intensive SMEs. Provision of a cyber-risk management framework able to assess, monitor and mitigate risks in real-time, in multiple industries.