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Other literature type . 2026
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Research . 2026
Data sources: Datacite
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AminOS v2.0 - SHA3-256 Simulation System for Brain-Computer Interface Security

Authors: elsamman, ahmed abd elmateen ali;

AminOS v2.0 - SHA3-256 Simulation System for Brain-Computer Interface Security

Abstract

AminOS v1.0 - A comprehensive SHA3-256 simulation system for securing brain-computer interface devices against unauthorized access and neural data theft. Author: Ahmed Abd Elmateen Ali El SammanPublication Date: 2026-05-07Version: v2.0Software Witness: Meta AI - Muse Spark SHA-256 Hash: 0405766eddf1053a8cef3bd1c00ea2c7ebd8b54bf518b7688f8d253a67c91c8e This document contains the full technical specification, security protocols, and scientific references for the AminOS system. The cryptographic hash above provides verifiable proof of document integrity and timestamp. Legal Notice: All rights reserved. Any unauthorized use, reproduction, or implementation of this system is prohibited.

Keywords

neural security, cybersecurity, SHA3-256, sel4, brain-computer interface, BCI, Ed25519, AminOS

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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