Cyber-Physical systems have become ubiquitous. These systems integrate different
functionalities to satisfy the performance requirements and take advantage of the available
processing power of multi-core systems. Safety critical applications such as autonomous
vehicles or medical devices rely not only on proving correct functionality of
cyber-physical systems as essential certification criteria but they must also satisfy other
design constraints such as energy efficiency, low power consumption and reliability.
Their need to connect to the internet have created new challenges which means addressing
the security vulnerabilities has become as the first-class design concern.
In this talk, first a hardware/software co-design approach for two critical tasks, real-time
pedestrian and vehicle detections, which are essential in advanced driving assistance
systems (ADAS) and autonomous driving systems (ADS) is presented. We use partial
dynamic reconfiguration on FPGA for adaptive vehicle detection. In the second part of this talk, a system-level security-aware design approach is presented to avoid or confine
the impact of security compromises on the critical components of the cyber-physical
systems implemented in multiprocessor systems on chip. Our system-level security
approach considers the described system architecture for a specific application and
analyzes its security vulnerability based on the specified security rules to generate an
impact analysis report. Then, it creates a new system architecture configuration to protect
the critical components of the system by providing isolation of tasks without the
need to trust a central authority at run-time for heterogeneous multiprocessor system.
This approach allows safe use of shared IP with direct memory access, as well as
shared libraries by regulating memory accesses and the communications between the
system components.
