LOGOS RI is a not for profit multidisciplinary research organization which main scope is to explore cutting edge and visionary research topics as well as to translate last science and technological breakthroughs in proof of principle/concepts to solve real-world human problems/needs.
LOGOS is composed by academic researchers coming from different domains so that the research methodology is designed to fruitful cross-fertilization and hybridization of different disciplines. The objective is to base each research project with a holistic view able to fully address the complexity of issues concerning the humans being.
A particular attention is dedicated to Safety and Security in Complex Human-Cyber-Physical Systems (HCPS) (e.g. Critical Infrastructures) bring its expertise in organizational and system safety and security assessment, protective security, data security, trustworthiness, dependability, resilience in distributed systems, Knowledge bases, AI, Autonomous systems and so forth.
LOGOS adopts the Open Innovation 2.0 and Participatory Design approach cooperating with end users during the research activities. It adopts the ISO 56002 Innovation Management System (IMS) standards in their internal organization as well as supports companies to be standard compliant. To this end, the Association delivers innovation by developing knowledge and technologies that are applied and brought into practical use at prototype and beta release level, and contribute to value creation and increased competitiveness within the private and public sectors. The Participation in the ELECTRON project goes in this direction since enabled LOGOS to translate research in cybersecurity and anomaly detection into practical tools for real-world demonstrations of critical infrastructure. This experience helped LOGOS enhance its internal capabilities, transitioning from research and prototyping to demonstration and the realization of Minimum Viable Products (MVPs). Additionally, the ELECTRON project facilitated hypothesis validation against real stakeholder requirements, laying the groundwork for future exploitation.
Specifically, LOGOS developed two core components: the Machine Learning-based Malware SQUID and the Attack Graph Engine (AGE). The SQUID aims to innovate the anomaly detection market by applying advanced machine learning techniques to improve efficiency and effectiveness in malware detection. Meanwhile, AGE conducts proactive dynamic risk analysis and reduces the impact of attacks. Through the ELECTRON project, LOGOS is confident that both components will play a crucial role in the next generation of cybersecurity control systems.
In this respect, LOGOS will continue to disseminate ELECTRON solution in all contexts in which it is involved as European Integrated Mission Group on Security (IMG-S), IEEE SMC TC Homeland Security, in IEEE Cyber Security and Resilience (IEEE-CSR) conference, International Conference on Computer Safety, Reliability and Security (SAFECOMP 2024) and so forth.