Dynamic Threat Intelligence for Improvement of Resilience of Critical Infrastructure During Pandemics

19th Conference on Computer Science and Intelligence Systems (FedCSIS). Belgrade, Serbia
The COVID-19 pandemic is an example of a temporary situation when critical infrastructure (CI) operators had to operate with continuously changing conditions. The role of cyber infrastructure during pandemics, for example for the remote work or access to critical systems, has also changed.

A Testbed for a Nearby-Context Aware: Threat Detection and Mitigation System for Connected Vehicles

IEEE / 2023 JNIC Cybersecurity Conference (JNIC)
The fact than more and more Cyber-Physical or IoT systems are integrated in vehicle fleets, coupled with the growing connectivity of these devices, poses a higher risk of cyber attacks, due to the increased attack surface.

TERME: a cyber-physical resilience toolset for risk assessment

IEEE/ 2023 JNIC Cybersecurity Conference (JNIC)
With the increased digitalization and adoption of cost-effective off-the-shelf components and cyber connectivity, Critical Infrastructures (CI) operators have benefited in many ways, but the attack surface has also become larger.

Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning

With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and dynamic.

Multi-cloud provisioning of business processes

The Cloud offers enhanced flexibility in the management of resources while it promises the reduction of its cost as well as its infinite scalability. In this way, due to these advantages, there is a recent move towards migrating business processes (BPs) in the Cloud.

Collaborative SLA and reputation-based trust management in cloud federations

Industry and academia shift from the single cloud provider paradigm to cloud federations and alternative models, which orchestrate heterogeneous resources, such as Mobile Edge Computing and Fog Computing.