Growing ubiquity and safety relevance of embedded systems strengthen the need to protect their functionality against malicious attacks. Communication and system authentication by digital signature schemes is a major issue in securing such systems. This contribution presents a complete ECDSA signature processing system over prime fields for bit lengths of up to 256 on reconfigurable hardware. By using dedicated hardware implementation, the performance can be improved by up to two orders of magnitude compared to microcontroller implementations. The flexible system is tailored to serve as an autonomous subsystem providing authentication transparent for any application. Integration into a vehicle-to-vehicle communication system is shown as an application example.
To get more information about oncoming road and traffic situations, exchange of data between cars is a large benefit. But relying on data obtained from other cars and hence sensors not under direct control of the system, guaranteeing trustworthiness and integrity of this data is of paramount importance. This creates the need for security measures for the data exchange which impose high computational demands to achieve the low latencies needed for safety applications. In this contribution we present a hardware security module allowing efficient calculation and verification of signatures. Implementation as well as integration aspects are being discussed in this paper.
For improving the security of embedded systems, trusted computing is a promising technology. For the area of microprocessors in general and personal computers in particular the Trusted Computing Group (TCG) has published detailed specifications. The resulting hardware has been available for some years. This contribution discusses the feasibility of deploying ideas from trusted computing in the domain of reconfigurable hardware, esp. FPGAs, and possible benefits and drawbacks. We give a proposal to use actually available FPGA technology to build a trusted platform on reconfigurable hardware. We also show how trusted computing can deal with partial dynamic reconfiguration while still allowing the user to fully exploit its potentials.
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