Work

Research on the Security of SRAM-Based FPGAs in the Era of Artificial Intelligence

Year: 2025

Type: article

Abstract: SRAM-based FPGAs, with their flexible programmability and parallel execution features, have been widely used, and the security of such devices has drawn significant attention. Especially in the era of artificial intelligence, FPGA architectural optimizations and evolving application models have introduced novel security characteristics and threats. In this work, we introduce a taxonomy of FPGA threats and explore new threat features and potential countermeasures in the era of AI. We focus on evaluating the research trends of FPGA security, including both security threats and protection measures. Then, we propose a new perspective on the involvement of FPGA manufacturers in FPGA security and introduce the main security measures used in COTS FPGA products. Finally, we summarize the security challenges and offer future research directions.

Source: Journal of Low Power Electronics and Applications

DOI: 10.3390/jlpea15040066

Authors: Jing Zhou, Xiangyu Zhao, Shengbing Zhang, Lei Chen, Ke Xiao, Shuo Wang

Institutions: Northwestern Polytechnical University, Beijing Microelectronics Technology Institute, China Aerospace Science and Technology Corporation

Language: English

Topic: Physical Unclonable Functions (PUFs) and Hardware Security

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,172