Team: Carlos Baquero Moreno and Paulo Sérgio Almeida and Paulo Jorge Azevedo
Abstract: A critical system can be any facility, network, service or asset which, if disrupted or destroyed, would cause a major impact on the health, safety, or economic wellbeing, or the effective functioning of state institutions and public administrations. Examples are water, communication and power supply plants, and transport infrastructures (e.g., airports and seaports). These systems play a key role in several fundamental human activities and its monitoring is of utmost importance to assure survival to malicious attacks or accidental failures, guaranteeing integrity of data, self adaptation to different levels of criticalness and continuous provision of responsive and trustworthy services, preventing against cascading effects. This can be achieved by diagnosing faults and security threats in real-time through a sensor-based infrastructure based upon scalable, remote and/or self reconfigurable, self-healing, secure and resilient networks.
The HASLab contribution to this goal addresses scalable solutions for network data aggregation, topology detection and data dissemination, and mechanisms for data evolution with low coordination over large scale or high latency networks. The team includes faculty researchers and contracted researchers.