Mitigating Electrical-level Attacks towards Secure Multi-Tenant FPGAs in the Cloud

Author:

Krautter Jonas1,Gnad Dennis R. E.1ORCID,Tahoori Mehdi B.1

Affiliation:

1. Karlsruhe Institute of Technology, Karlsruhe, Germany

Abstract

A rising trend is the use of multi-tenant FPGAs, particularly in cloud environments, where partial access to the hardware is given to multiple third parties. This leads to new types of attacks in FPGAs, which operate not only on the logic level, but also on the electrical level through the common power delivery network. Since FPGAs are configured from the software-side, attackers are enabled to launch hardware attacks from software, impacting the security of an entire system. In this article, we show the first attempt of a countermeasure against attacks on the electrical level, which is based on a bitstream checking methodology. Bitstreams are translated back into flat technology mapped netlists, which are then checked for properties that indicate potential malicious runtime behavior of FPGA logic. Our approach can provide a metric of potential risk of the FPGA bitstream being used in active fault or passive side-channel attacks against other users of the FPGA fabric or the entire SoC platform.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference53 articles.

1. Chipworks. 2014. Inside the Samsung Galaxy S5. Retrieved from: https://www.chipworks.com/ko/node/126. Chipworks. 2014. Inside the Samsung Galaxy S5. Retrieved from: https://www.chipworks.com/ko/node/126.

2. iFixit. 2015. Pebble Time Teardown. Retrieved from: https://www.ifixit.com/Teardown/Pebble+Time+Teardown/42382. iFixit. 2015. Pebble Time Teardown. Retrieved from: https://www.ifixit.com/Teardown/Pebble+Time+Teardown/42382.

3. Amazon Web Services (AWS). 2018. Amazon EC2 F1 Instances. Retrieved from: https://aws.amazon.com/ec2/instance-types/f1/. Amazon Web Services (AWS). 2018. Amazon EC2 F1 Instances. Retrieved from: https://aws.amazon.com/ec2/instance-types/f1/.

4. LWN.net. 2018. FPGA Device Feature List (DFL) Device Drivers. Retrieved from: https://lwn.net/Articles/757283/. LWN.net. 2018. FPGA Device Feature List (DFL) Device Drivers. Retrieved from: https://lwn.net/Articles/757283/.

5. Alibaba Cloud. 2018. Instance type families—Alibaba Cloud Documentation Center. Retrieved from: https://www.alibabacloud.com/help/doc-detail/25378.html. Alibaba Cloud. 2018. Instance type families—Alibaba Cloud Documentation Center. Retrieved from: https://www.alibabacloud.com/help/doc-detail/25378.html.

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