Conference item
Electromagnetic signal injection attacks on differential signaling
- Abstract:
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Differential signaling is a method of data transmission that uses two complementary electrical signals to encode information. This allows a receiver to reject any noise by looking at the difference between the two signals, assuming the noise affects both signals equally. Many protocols such as USB, Ethernet, and HDMI use differential signaling to achieve a robust communication channel in a noisy environment. This generally works well and has led many to believe that it is infeasible to remotely inject attacking signals into such a differential pair. In this paper, we challenge this assumption and show that an adversary can in fact inject malicious signals from a distance, purely using common-mode injection, i.e., injecting into both wires at the same time.
We explain in detail the principles that an attacker can exploit to achieve a successful injection of an arbitrary bit, and we analyze the success rate of injecting longer arbitrary messages. We demonstrate the attack on a real system and show that the success rate can reach as high as . Finally, we present a case study where we wirelessly inject a message into a Controller Area Network (CAN) bus, which is a differential signaling bus protocol used in many critical applications, including the automotive and aviation sector.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 2.1MB, Terms of use)
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- Publisher copy:
- 10.1145/3579856.3590326
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- ASIA CCS '23: Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security
- Pages:
- 314-325
- Place of publication:
- New York, NY, United States
- Publication date:
- 2023-07-10
- Acceptance date:
- 2023-03-22
- Event title:
- 18th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2023)
- Event location:
- Melbourne, Australia
- Event website:
- https://asiaccs2023.org/
- Event start date:
- 2023-07-10
- Event end date:
- 2023-07-14
- DOI:
- EISBN:
- 9798400700989
- Language:
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English
- Keywords:
- Pubs id:
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1333994
- Local pid:
-
pubs:1333994
- Deposit date:
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2023-03-23
- ARK identifier:
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2023
- Rights statement:
- © 2023 ACM.
- Notes:
- This is the accepted manuscript version of the paper. The final version is available online from the Association for Computing Machinery at: https://doi.org/10.1145/3579856.3590326
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