Multi-Tenant Cloud FPGA: A Survey on Security
Muhammed Kawser Ahmed, Joel Mandebi, Sujan Kumar Saha, Christophe, Bobda

TL;DR
This survey reviews security challenges in multi-tenant cloud FPGA environments, highlighting risks from reconfigurable hardware and discussing future research directions for safeguarding cloud FPGA services.
Contribution
It provides a comprehensive analysis of security issues specific to multi-tenant cloud FPGAs and discusses future challenges in securing these reconfigurable platforms.
Findings
Identifies security vulnerabilities unique to multi-tenant FPGA sharing.
Highlights the lack of current security measures in cloud FPGA services.
Discusses potential future research directions for FPGA security.
Abstract
With the exponentially increasing demand for performance and scalability in cloud applications and systems, data center architectures evolved to integrate heterogeneous computing fabrics that leverage CPUs, GPUs, and FPGAs. FPGAs differ from traditional processing platforms such as CPUs and GPUs in that they are reconfigurable at run-time, providing increased and customized performance, flexibility, and acceleration. FPGAs can perform large-scale search optimization, acceleration, and signal processing tasks compared with power, latency, and processing speed. Many public cloud provider giants, including Amazon, Huawei, Microsoft, Alibaba, etc., have already started integrating FPGA-based cloud acceleration services. While FPGAs in cloud applications enable customized acceleration with low power consumption, it also incurs new security challenges that still need to be reviewed. Allowing…
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Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Cryptographic Implementations and Security · Radiation Effects in Electronics
