A Novel Covert Timing Channel for Cloud FPGAs

This paper presents a novel covert timing channel (CTC) that enables a malicious entity to exfiltrate data from a benign cloud FPGA user without requiring dedicated outgoing messages from the cloud FPGA, minimizing the detection risk by both the victim and the cloud service provider. The proposed CTC exploits the handshake signals of the Advanced eXtensible Interface (AXI) protocol and interpacket delay of the Internet to establish the CTC from a cloud FieldProgrammable Gate Array (FPGA) to an off-cloud computer. This paper analyzes the bit-error rate (BER) of the AXI-based CTC under varying conditions and demonstrates its effectiveness in truly enabling remote power analysis attacks on cloud services, such as Amazon Web Services Elastic Compute Cloud (AWS EC2). The proposed CTC achieves a BER as low as 0.01988%.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11133099
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Covert Timing Channel for Cloud FPGAs

Darshana Jayasinghe, Sri Parameswaran, Hassaan Saadat, Brian Udugama et al.
Physical Unclonable Functions (PUFs) and Hardware Security
article

A Novel Covert Timing Channel for Cloud FPGAs

Darshana Jayasinghe, Sri Parameswaran, Hassaan Saadat, Brian Udugama, Aleksandar Ignjatović
article en

Abstract

This paper presents a novel covert timing channel (CTC) that enables a malicious entity to exfiltrate data from a benign cloud FPGA user without requiring dedicated outgoing messages from the cloud FPGA, minimizing the detection risk by both the victim and the cloud service provider. The proposed CTC exploits the handshake signals of the Advanced eXtensible Interface (AXI) protocol and interpacket delay of the Internet to establish the CTC from a cloud FieldProgrammable Gate Array (FPGA) to an off-cloud computer. This paper analyzes the bit-error rate (BER) of the AXI-based CTC under varying conditions and demonstrates its effectiveness in truly enabling remote power analysis attacks on cloud services, such as Amazon Web Services Elastic Compute Cloud (AWS EC2). The proposed CTC achieves a BER as low as 0.01988%.

The University of Sydney (AU), UNSW Sydney (AU), Astronomy and Space (AU)
Openalex Percentile: Top 74%
Physical Unclonable Functions (PUFs) and Hardware Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.