133,868 research outputs found
A Cyber-Physical System
The team was tasked with the creation of an autonomous cyber-physical system that could be continually developed as a post-capstone class by future STEM students and as a means to teach future engineering students. The strict definition of a cyber-physical system is a computation machine that networks with an embedded computer that performs a physical function. The autonomous aspect was achieved through two sonic sensors to monitor object distances in order to avoid walls and obstacles. The integrated system was based on the Intel Edison computation module. A primary goal for future addition is automation capabilities and machine learning applications
Adaptive Process Management in Cyber-Physical Domains
The increasing application of process-oriented approaches in new challenging cyber-physical domains beyond business computing (e.g., personalized healthcare, emergency management, factories of the future, home automation, etc.) has led to reconsider the level of flexibility and support required to manage complex processes in such domains. A cyber-physical domain is characterized by the presence of a cyber-physical system coordinating heterogeneous ICT components (PCs, smartphones, sensors, actuators) and involving real world entities (humans, machines, agents, robots, etc.) that perform complex tasks in the “physical” real world to achieve a common goal. The physical world, however, is not entirely predictable, and processes enacted in cyber-physical domains must be robust to unexpected conditions and adaptable to unanticipated exceptions. This demands a more flexible approach in process design and enactment, recognizing that in real-world environments it is not adequate to assume that all possible recovery activities can be predefined for dealing with the exceptions that can ensue. In this chapter, we tackle the above issue and we propose a general approach, a concrete framework and a process management system implementation, called SmartPM, for automatically adapting processes enacted in cyber-physical domains in case of unanticipated exceptions and exogenous events. The adaptation mechanism provided by SmartPM is based on declarative task specifications, execution monitoring for detecting failures and context changes at run-time, and automated planning techniques to self-repair the running process, without requiring to predefine any specific adaptation policy or exception handler at design-time
User-centric Privacy Engineering for the Internet of Things
User privacy concerns are widely regarded as a key obstacle to the success of
modern smart cyber-physical systems. In this paper, we analyse, through an
example, some of the requirements that future data collection architectures of
these systems should implement to provide effective privacy protection for
users. Then, we give an example of how these requirements can be implemented in
a smart home scenario. Our example architecture allows the user to balance the
privacy risks with the potential benefits and take a practical decision
determining the extent of the sharing. Based on this example architecture, we
identify a number of challenges that must be addressed by future data
processing systems in order to achieve effective privacy management for smart
cyber-physical systems.Comment: 12 Page
Science Hackathons for Cyberphysical System Security Research: Putting CPS testbed platforms to good use
A challenge is to develop cyber-physical system scenarios that reflect the
diversity and complexity of real-life cyber-physical systems in the research
questions that they address. Time-bounded collaborative events, such as
hackathons, jams and sprints, are increasingly used as a means of bringing
groups of individuals together, in order to explore challenges and develop
solutions. This paper describes our experiences, using a science hackathon to
bring individual researchers together, in order to develop a common use-case
implemented on a shared CPS testbed platform that embodies the diversity in
their own security research questions. A qualitative study of the event was
conducted, in order to evaluate the success of the process, with a view to
improving future similar events
CPSA: A Cyber-Physical Security Assessment Tool for Situational Awareness in Smart Grid
It has now become critical and important to understanding the nature of cyber-attacks and their impact on the physical operation of emerging smart electricity grids. Modeling and simulation provide a cost-effective means to develop frameworks and algorithms that address cyber-physical security challenges facing the smart grid. Existing simulation tools support either the communication network or the power system, but not both together. Thus, it is difficult to explore the effects of cyber-physical attacks on power system dynamics and operations. In order to bridge this gap, a cyber-physical co-simulator is required. In this paper, we present a novel integrated cyber-physical security co-simulator tool capable of cyber-physical security assessment (CPSA), which simulates the communication network and the power system together. The tool identifies future vulnerable states and bad measurements and guides the operator at the control center on taking appropriate action to minimize disruption of the physical power system operation due to cyber-attack. The developed tool can be used in understanding of power system monitoring, analyzing the nature of cyber-attacks, detecting bad measurement data, bad command, disabled devices and understand their impact on the operation of the power system
Cyber-Virtual Systems: Simulation, Validation & Visualization
We describe our ongoing work and view on simulation, validation and
visualization of cyber-physical systems in industrial automation during
development, operation and maintenance. System models may represent an existing
physical part - for example an existing robot installation - and a software
simulated part - for example a possible future extension. We call such systems
cyber-virtual systems.
In this paper, we present the existing VITELab infrastructure for
visualization tasks in industrial automation. The new methodology for
simulation and validation motivated in this paper integrates this
infrastructure. We are targeting scenarios, where industrial sites which may be
in remote locations are modeled and visualized from different sites anywhere in
the world.
Complementing the visualization work, here, we are also concentrating on
software modeling challenges related to cyber-virtual systems and simulation,
testing, validation and verification techniques for them. Software models of
industrial sites require behavioural models of the components of the industrial
sites such as models for tools, robots, workpieces and other machinery as well
as communication and sensor facilities. Furthermore, collaboration between
sites is an important goal of our work.Comment: Preprint, 9th International Conference on Evaluation of Novel
Approaches to Software Engineering (ENASE 2014
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