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Transparent memory encryption and authentication

Authors: Mario Werner; Thomas Unterluggauer; Robert Schilling; David Schaffenrath; Stefan Mangard;

Transparent memory encryption and authentication

Abstract

Security features of modern (SoC) FPGAs permit to protect the confidentiality of hard- and software IP when the devices are powered off as well as to validate the authenticity of IP when being loaded at startup. However, these approaches are insufficient since attackers with physical access can also perform attacks during runtime, demanding for additional security measures. In particular, RAM used by modern (SoC) FPGAs is under threat since RAM stores software IP as well as all kinds of other sensitive information during runtime. To solve this issue, we present an open-source framework for building transparent RAM encryption and authentication pipelines, suitable for both FPGAs and ASICs. The framework supports various ciphers and modes of operation as shown by our comprehensive evaluation on a Xilinx Zynq-7020 SoC. For encryption, the ciphers Prince and AES are used in the ECB, CBC and XTS mode. Additionally, the authenticated encryption cipher Ascon is used both standalone and within a TEC tree. Our results show that the data processing of our encryption pipeline is highly efficient with up to 94 % utilization of the read bandwidth that is provided by the FPGA interface. Moreover, the use of a cryptographically strong primitive like Ascon yields highly practical results with 54 % bandwidth utilization.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
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