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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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Advanced Smart Contract Defence Mechanisms: Temporal, Quantum, and Recursive Displacement Patterns

Authors: Knott, Andrew;

Advanced Smart Contract Defence Mechanisms: Temporal, Quantum, and Recursive Displacement Patterns

Abstract

This technical disclosure describes advanced defence mechanisms for smart contracts including temporal displacement patterns, quantum-inspired uncertainty principles, and recursive trap architectures. The disclosed techniques create unpredictable defensive behaviours that resist analysis and exploitation. Temporal patterns introduce time-based variations in contract behaviour, quantum-inspired mechanisms create measurement-dependent state changes, and recursive patterns enable self-modifying defence structures. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches.

Keywords

quantum-inspired security, recursive traps, temporal defence, blockchain security, defensive publication, advanced defence mechanisms, smart contracts

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    popularity
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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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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
Green