Voltage Sensor Implementations for Remote Power Attacks on FPGAs

Author:

Moini Shayan1ORCID,Deric Aleksa1ORCID,Li Xiang1ORCID,Provelengios George1ORCID,Burleson Wayne1ORCID,Tessier Russell1ORCID,Holcomb Daniel1ORCID

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Abstract

This article presents a study of two types of on-chip FPGA voltage sensors based on ring oscillators (ROs) and time-to-digital converter (TDCs), respectively. It has previously been shown that these sensors are often used to extract side-channel information from FPGAs without physical access. The performance of the sensors is evaluated in the presence of circuits that deliberately waste power, resulting in localized voltage drops. The effects of FPGA power supply features and sensor sensitivity in detecting voltage drops in an FPGA power distribution network (PDN) are evaluated for Xilinx Artix-7, Zynq 7000, and Zynq UltraScale+ FPGAs. We show that both sensor types are able to detect supply voltage drops, and that their measurements are consistent with each other. Our findings show that TDC-based sensors are more sensitive and can detect voltage drops that are shorter in duration, while RO sensors are easier to implement because calibration is not required. Furthermore, we present a new time-interleaved TDC design that sweeps the sensor phase. The new sensor generates data that can reconstruct voltage transients on the order of tens of picoseconds.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference33 articles.

1. Md Mahbub Alam, Shahin Tajik, Fatemeh Ganji, Mark Tehranipoor, and Domenic Forte. 2019. RAM-Jam: Remote temperature and voltage fault attack on FPGAs using memory collisions. In Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC’19). 48–55.

2. The characterization and application of a low resource FPGA-based time to digital converter

3. Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs

4. Digilent Inc. [n. d.]. Zybo Z7 Reference Manual. https://reference.digilentinc.com/reference/programmable-logic/zybo-z7/reference-manual.

5. C3APSULe: Cross-FPGA Covert-Channel Attacks through Power Supply Unit Leakage

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the Usage of Fast Carry Chains to Implement Multistage Ring Oscillators on FPGAs: Design and Characterization;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-08

2. Reliability and Security of AI Hardware;2024 IEEE European Test Symposium (ETS);2024-05-20

3. Fuzz Wars: The Voltage Awakens – Voltage-Guided Blackbox Fuzzing on FPGAs;2024 IEEE 42nd VLSI Test Symposium (VTS);2024-04-22

4. AHD-LAM: A New Mitigation Method against Voltage-Drop Attacks in Multi-tenant FPGAs;2023 Asian Hardware Oriented Security and Trust Symposium (AsianHOST);2023-12-13

5. A Tenant Side Compilation Solution for Cloud FPGA Deployment;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3