The supervisory control and data acquisition (SCADA) network in a smart grid must be reliable and efficient to transmit real-time data to the controller, especially when the system is under contingencies or cyberattacks. Introducing the features of software-defined networks (SDN) into a SCADA network helps in better management of communication and deployment of novel grid control operations.

A smart grid is a widely distributed engineering system with overhead transmission lines. Physical damage to these power lines, from natural calamities or technical failures, will disrupt the functional integrity of the grid. To ensure the continuation of the grid’s operational flow when those phenomena happen, the grid operator must immediately take steps to nullify the impacts and repair the problems, even if those occur in hardly-reachable remote areas.

Cyber-physical systems (CPSs) and the Internet of Things (IoT) are converging towards a hybrid platform that is becoming ubiquitous in all modern infrastructures. The massive deployment of  CPS requires comprehensive, secure, and reliable communication. The integration of complex and heterogeneous systems makes enormous space for the adversaries to get into the network and inject malicious data. To obfuscate and mislead the attackers, we propose DDAF, a deception defense-based data acquisition framework for a hierarchical communication network of CPSs.

This paper studies the synthesis of controllers for cyber-physical systems (CPSs) that are required to carry out complex tasks that are time-sensitive, in the presence of an adversary. The task is specified as a formula in metric interval temporal logic (MITL). The adversary is assumed to have the ability to tamper with the control input to the CPS and also manipulate timing information perceived by the CPS. In order to model the interaction between the CPS and the adversary, and

4th International Workshop on Requirements Engineering for Self-Adaptive and Cyber-Physical Systems (RESACS 2018) http://resacs2018.wordpress.com | http://twitter.com/RESACS_WS

As multi-agent systems become ubiquitous, the ability to satisfy multiple system-level constraints in these systems grows increasingly important. In applications ranging from automated cruise control to safety in robot swarms, barrier functions have emerged as a tool to provably meet such constraints by guaranteeing forward invariance of a set. However, satisfying multiple constraints typically implies formulating multiple barrier functions, bringing up the need to address the degree to which multiple barrier functions may be composed through Boolean logic.

This paper proposes an event-triggered interactive gradient descent method for solving multi-objective optimization problems. We consider scenarios where a human decision maker works with a robot in a supervisory manner in order to find the best Pareto solution to an optimization problem. The human has a time-invariant function that represents the value she gives to the different outcomes. However, this function is implicit, meaning that the human does not know it in closed form, but can respond to queries about it.

The 5th Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2017) Funchal, Portugal - December 6-7, 2017 https://sustainit2017.m-iti.org CALL FOR PAPERS

You are invited to participate in The Fourth International Conference On Digital Enterprise and Information Systems (DEIS2017) that will be held in Jakarta, Indonesia, on July 19 - 20, 2017. The event will be held over two days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures.