Disruptive Cybersecurity for Cyber-physical Society
At Exalens, we have deep roots in research and innovation in AI-driven security solutions for networks and cyber-physical systems. Over the past five years, we have participated in over 15 international research projects, tackling complex security challenges across a wide range of emerging and digitally transforming industries (from Industry 4.0, 5G, Automotive to Maritime and Defence), all in support of our mission to enhance operational resilience and safety for the emerging equip cyber-physical society.
ROBORDER develops a fully-functional autonomous border surveillance system with unmanned mobile robots including aerial, water surface, underwater and ground vehicles, capable of functioning both as standalone and in swarms, which will incorporate multimodal sensors as part of an interoperable network. In ROBORDER, CyberLens leads the detection and classification techniques for recognising cyber and cyber-physical attacks and participates in identification and tracking of illegal communications.
In addition, it is involved in the system integration activities, the prototype demonstration and evaluation as well as the dissemination activities of the project.
CREST aims to equip Law Enforcement Agencies with an advanced prediction, prevention, operation, and investigation platform by leveraging the IoT ecosystem, autonomous systems, and targeted technologies and building upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams (ranging from online content to IoT-enabled sensors) for threat detection and assessment, dynamic mission planning and adaptive navigation for improved surveillance based on autonomous systems, distributed command and control of law enforcement missions, sharing of information and exchange of digital evidence based on blockchain, and delivery of pertinent information to different stakeholders in an interactive manner tailored to their needs.
CyberLens will lead the effort of implementing the CREST cyber threat detection module tasked with detecting and classifying cyber attacks against robotic systems and IoT communications by combining deep and statistical learning.
With the evolving threat of climate change and the consequences of industrial accidents to becoming more severe, there is an increasing need for First Responders to access reliable and agile information management systems that offer as higher Situational Awareness and better Common Operational Picture. To match with current trends, the RESPOND-A project aims at developing holistic and easy-to-use solutions for First Responders by bringing together the complementary strengths of its Investigators in 5G wireless communications, Augmented and Virtual Reality, autonomous robot and unmanned aerial vehicle coordination, intelligent wearable sensors and smart monitoring, geovisual analytics and immersive geospatial data analysis, passive and active localisation and tracking, and interactive multi-view 360o video streaming.
The synergy of such cutting-edge technological advancements is likely to provide high-end and continuous flows of data, voice and video information to First Responders and their Command & Control Centres for predicting and assessing the various incidents readily and reliably, and saving lives more efficiently and effectively, while maximising the safeguarding of themselves, before, during and after disasters. To this end, RESPOND-A envisions at exercising First Responders for getting familiar with the project technological outcomes, and demonstrating their real-world performance and effectiveness in the classified training facilities of our Responder Partners under hydrometeorological, geophysical and technological disaster scenarios.
The project addresses the security and the resilience of EU Ground Segments of Space Systems, meeting the crosscutting and the sectorial criteria of the EU critical infrastructures (2008/14). The Copernicus era has created a new market with the massive amounts of satellite data that the ground segments of space systems receive serve to the market and governmental bodies. A physical/cyber-attack to their installations or communication networks, respectively, would cause debilitating impact on public safety and security of EU citizens and public authorities. A physical attack on a space ground segment makes the distribution of satellite data problematic and, on the other hand, a cyber-attack in its data storage, access and exchange affects not only the reliability of space data, but also their FAIR standards: findability, accessibility, interoperability and reusability. Current approaches do not fully exploit the recent advances in surveillance mechanisms with robotic technologies and AI.
7SHIELD will be an integrated yet flexible and adaptable framework enabling the deployment of innovative services for cyber-physical protection of ground segments, such as e-fences, passive radars and laser technologies, multimedia AI technologies, that enhance their protection capabilities, while integrating or interoperating with existing protection solutions already deployed at their installations. The framework will integrate advanced technologies for data integration, processing, and analytics, machine learning and recommendation systems, data visualization and dashboards, data security and cyber threat protection. The technological solution is co-designed with first responders’ teams and contributes to policy making, standardisation and new guidelines for contingency planning and service continuity. The project will be evaluated and demonstrated in five installations of ground segments of space systems.