Pith. sign in

REVIEW 1 cited by

Side-Channel Attack Resilience through Route Randomisation in Secure Real-Time Networks-on-Chip

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1607.03450 v1 pith:B2KALRIJ submitted 2016-07-12 cs.DC cs.CRcs.NI

Side-Channel Attack Resilience through Route Randomisation in Secure Real-Time Networks-on-Chip

classification cs.DC cs.CRcs.NI
keywords real-timeattackincreasepacketrandomisationresilienceroutesecurity
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

Security can be seen as an optimisation objective in NoC resource management, and as such poses trade-offs against other objectives such as real-time schedulability. In this paper, we show how to increase NoC resilience against a concrete type of security attack, named side-channel attack, which exploit the correlation between specific non-functional properties (such as packet latencies and routes, in the case of NoCs) to infer the functional behaviour of secure applications. For instance, the transmission of a packet over a given link of the NoC may hint on a cache miss, which can be used by an attacker to guess specific parts of a secret cryptographic key, effectively weakening it. We therefore propose packet route randomisation as a mechanism to increase NoC resilience against side-channel attacks, focusing specifically on the potential impact of such an approach upon hard real-time systems, where schedulability is a vital design requirement. Using an evolutionary optimisation approach, we show how to effectively apply route randomisation in such a way that it can increase NoC security while controlling its impact on hard real-time performance guarantees. Extensive experimental evidence based on analytical and simulation models supports our findings.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Effect-valued measurement models and contextuality

    quant-ph 2026-07 conditional novelty 7.0

    Replacing probability-valued empirical models with effect-algebra-valued measurement models yields a unified cone-program account of contextuality with new internal/observable and sharp/unsharp distinctions.