Secure Multi-Tenant FPGA Virtualization: Threat Models, Mitigations, and Design Guidelines for Cloud Reconfigurable Fabric

Authors

  • R. Alexander Moreno Department of Computer Engineering, University of Lisbon, Portugal

Keywords:

FPGA virtualization, cloud security, side-channel, fault injection

Abstract

This article presents a comprehensive, publication-ready synthesis and original theoretical elaboration on the security of multi-tenant field-programmable gate array (FPGA) virtualization in cloud environments. Drawing strictly on the supplied literature, it systematically constructs threat models that capture information leakage, fault injection, hardware probing, and IP theft in shared reconfigurable fabrics, and then proposes layered mitigation strategies spanning physical, architectural, runtime, and operational domains. The article begins by outlining the background of FPGA virtualization and the principal vulnerabilities documented in prior research and industry guidance (Jin et al., 2020; Knodel et al., 2019; Intel, 2017). It then formalizes adversary capabilities that include passive side-channel extraction, active voltage and configuration fault attacks, bitstream probing, remote fault induction, and tenant co-residency attacks (Kocher et al., 1999; Krautter et al., 2018; Krautter et al., 2019). Building from these adversary models, the methodology section develops a conceptual framework that maps attacks to vulnerable system layers and evaluates countermeasure efficacy in terms of confidentiality, integrity, availability, and intellectual property protection (Ishai et al., 2003; Kahng et al., 2001). The results section synthesizes descriptive outcomes from comparative analysis of countermeasures such as active fencing, correlated noise injection, secure local configuration, virtualization-aware OS support, and design-time watermarking (Krautter et al., 2019; Kamoun et al., 2009; Khan et al., 2019; Kelm & Lumetta, 2008; Kahng et al., 2001). The discussion provides an in-depth interpretation of trade-offs, deployment considerations, and a critique of research gaps, highlighting practical constraints in cloud deployments and suggesting future research trajectories including hybrid hardware-software co-design, provable isolation mechanisms, and co-residency detection techniques (Khawaja et al., 2018; Ismail & Shannon, 2011). Concrete guidelines for cloud operators, FPGA vendors, IP providers, and tenants are synthesized into an actionable, layered security blueprint. The article concludes with a call for rigorous, interdisciplinary efforts combining hardware security primitives, system-level virtualization controls, and robust operational protocols to close the current gaps in multi-tenant FPGA security (Jin et al., 2020; Khawaja et al., 2018).

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References

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Published

2025-10-31

How to Cite

Secure Multi-Tenant FPGA Virtualization: Threat Models, Mitigations, and Design Guidelines for Cloud Reconfigurable Fabric. (2025). International Journal of Advance Scientific Research, 5(10), 108-120. https://sciencebring.com/index.php/ijasr/article/view/1026

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