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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Cognitive Warfare Defence Through Intentional Semantic Incoherence in Smart Contracts

Authors: Knott, Andrew;

Cognitive Warfare Defence Through Intentional Semantic Incoherence in Smart Contracts

Abstract

This technical disclosure describes methods for defending smart contracts against automated analysis tools through intentional semantic incoherence. The disclosed techniques include state incoherence patterns, behavioural incoherence mechanisms, structural incoherence implementations, and signal pollution strategies. These methods cause automated analysis tools to malfunction when attempting to analyse protected contracts, providing a novel defensive layer against reconnaissance and attack planning. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches.

Keywords

cognitive warfare,, blockchain security, defensive publication, smart contracts, automated analysis defence, semantic incoherence

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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