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  1. Proceedings of the 2nd International Workshop on Hardware and Architectural Support for Security and Privacy (HASP '13)
  2. Side channel vulnerability metrics: the promise and the pitfalls
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Red team vs. blue team hardware trojan analysis: detection of a hardware trojan on an actual ASIC
Side channel vulnerability metrics: the promise and the pitfalls
Security testing of a secure cache design
Evaluation of delay PUFs on CMOS 65 nm technology: ASIC vs FPGA
Secure memories resistant to both random errors and fault injection attacks using nonlinear error correction codes
Micro-architectural support for metadata coherence in multi-core dynamic information flow tracking
Practical template-algebraic side channel attacks with extremely low data complexity
Unraveling timewarp: what all the fuzz is about?
Side-channel indistinguishability
Innovative instructions and software model for isolated execution
Using innovative instructions to create trustworthy software solutions

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Side channel vulnerability metrics: the promise and the pitfalls

Content Provider ACM Digital Library
Author Chen, Si Zhang, Tianwei Liu, Fangfei Lee, Ruby B.
Abstract Side-channels enable attackers to break a cipher by exploiting observable information from the cipher program's execution to infer its secret key. While some defenses have been proposed to protect information leakage due to certain side channels, the effectiveness of these defenses have mostly been given only qualitative analysis by their authors. It is desirable to have a general quantitative method and metric to evaluate a system's vulnerability to side-channel attacks. In this paper, we define the features of a good side-channel leakage metric. We review a recently proposed metric called the Side-channel Vulnerability Factor (SVF) and discuss its merits and issues. We suggest the CSV metric, which tries to show how to overcome some of the shortcomings of the SVF metric, without completely changing its character. We use software cache side-channel attacks and defenses as an example to compare the metrics with known and measurable results on system leakiness.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781450321181
DOI 10.1145/2487726.2487728
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-23
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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