In recent years, security of cyber-physical systems (CPS, physical systems controlled by computer-based algorithms) has been an important challenge for many researchers. Despite recent advancements in the area of cyber-security, there are still numerous reports on cyberattacks. Security of CPS plays an important role in assuring successful performance of industrial and critical infrastructures such as power systems, transportation systems, and smart medical systems.
A major cyber-attack on the U.S. electrical grid could result in economic losses in the trillions of dollars. Studies have demonstrated that smart grids are vulnerable to security threats at both the physical and logical levels. Threats to the physical layer include theft, vandalism, and sabotage, while protecting the logical layer means protecting data. The smart energy sector has been subjected to a wide spectrum of attacks over the last five years. Web-based applications and supervisory control and data acquisition (SCADA) systems are vulnerable to entities intruding between data and the data-gathering systems.
Security of current and future biomedical devices together with their connectivities to smart medical platforms will be of major concern to public health in the future. Recently for example, the U.S. Department of Homeland Security underscored some threats affecting almost three hundred medical devices. There is additional concern about security in transportation systems. New advances in transportation systems, including
connected/autonomous vehicles and unmanned aerial vehicles, increase the attack surface of transportation systems and make them more vulnerable to cyber-security attacks.
MLSCPS will serve as special session for reporting advances in all aspects of machine learning in security of cyber-physical systems, including theory, tools, applications, systems, testbeds, and field deployments. Improvements in Machine Learning (ML) provide new solutions and challenges to the security of cyber-physical systems used in power, medical and transportation systems.
The goal of this session is to bring together professionals, researchers, and practitioners in the area of cyber security to present, discuss, and share the latest findings in the field, and exchange ideas that address real-world problems with real-world solutions.
Topics for this session include, but are not limited to:
Security of networked control systems, applications in power, transportation, and biomedical systems
Intrusion detection techniques  Secure communication protocols for cyber-physical systems
Security risk analysis, modelling, evaluation, and management
Software and hardware security
Cloud and mobile Security
Attack and threat models
Techniques to detect and overcome new type of attacks
Security of smart grid systems
Network and sensor security
Estimation theory
Pattern recognition
Security of autonomous vehicles and unmanned aerial vehicles
Industrial Control Systems
12月18日
2016
12月20日
2016
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