The advantages of using communication networks to interconnect controllers and physical plants motivate the increasing number of Networked Control Systems, in industrial and critical infrastructure facilities. However, this integration also exposes such control systems to new threats, typical of the cyber domain. In this context, studies have been conduced, aiming to explore vulnerabilities and propose security solutions for cyber-physical systems. In this paper, it is proposed a covert attack for service degradation, which is planned based on the intelligence gathered by another attack, herein proposed, referred as System Identification attack. The simulation results demonstrate that the joint operation of the two attacks is capable to affect, in a covert and accurate way, the physical behavior of a system.Comment: NOTE: The final version of this paper is available at IEEE Transactions on Industrial Informatics (http://dx.doi.org/10.1109/TII.2017.2676005

No abstract

No abstract

No abstract

No abstract

No abstract

A research field that makes use of information and communication technologies to provide solutions to contemporaneous environmental challenges such as greenhouse gas emissions and global warming is the 'smart building' field. The use of wireless sensor and actuator networks (WSANs) emerges as an alternative for the use of information and communication technologies in the smart buildings. However, most of smart building applications make use of centralised architectures with sensing nodes transmitting messages to a base station wherein, effectively, the control and decision processes happen. In this context, we present CONDE, a decentralised CONtrol and DEcision-making system for smart building applications using WSANs. CONDE main contributions are as follows: (i) the decentralisation of the control and decision-making processes among WSAN nodes, saving energy of both the WSAN and the building; (ii) the integration of applications through sharing the sensed data and chaining decisions between applications within the WSAN, also saving energy of both the WSAN and the building; and (iii) the provision of a consensual multilevel decision that takes into account the cooperation among nodes to have a broader view of the monitored building. Performed experiments have shown CONDE gains in terms of the following: (i) response time; (ii) system efficiency; and (iii) energy savings from the network and the building.

No abstract