Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Incremental Fault Analysis: A New Differential Fault Attack on Block Ciphers

Authors: Pogue, Trevor;

Incremental Fault Analysis: A New Differential Fault Attack on Block Ciphers

Abstract

Electronic devices such as phones and computers use cryptography to achieve information security. However, while cryptographic algorithms may be strong theoretically, their physical implementations in hardware can leak unintentional side information as a byproduct of performing their computations. A device's security can be compromised from this leakage through side-channel attacks. Research in hardware security reveals how dangerous these attacks can be and provides security countermeasures. This thesis focuses on a category of side-channel attacks called fault attacks, and contributes a new fault attack method that can compromise a cryptographic device more rapidly than the previous methods when using practical fault injection techniques. We observe that as a circuit is further overclocked, new faults are often superimposed upon previous ones. We analyze the incremental changes rather than the total sum in order to extract more secret information. Unlike many previous methods, ours does not require precise fault injection techniques and requires no knowledge of when the internal state is in a specific algorithmic stage. Results are confirmed experimentally on hardware implementations of AES-128, 192, and 256.

Master of Applied Science (MASc)

Thesis

Country
Canada
Related Organizations
Keywords

fault, cryptography, AES, DFA, differential fault analysis, attack, incremental fault analysis, hardware, security, side-channel, IFA

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!