OpenAlex
metadata only
Eight Reasons Why Cybersecurity on Novel Generations of Brain-Computer Interfaces Must Be Prioritized
artificial-intelligenceartificial-neural-networkcomputer-sciencecomputer-securityconvolutional-neural-network
This article presents eight neural cyberattacks affecting spontaneous neural activity, inspired by well-known cyberattacks from the computer science domain: Neural Flooding, Neural Jamming, Neural Scanning, Neural Selective Forwarding, Neural Spoofing, Neural Sybil, Neural Sinkhole and Neural Nonce.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Brain–computer interface (BCI) researcher perspectives on neural data ownership and privacy#431427
- NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats.#678629
- Eight Reasons to Prioritize Brain-Computer Interface Cybersecurity#671895
- Les menaces persistantes avancées en cybersécurité – La guerre cybernétique#89216
- Brain Rot Slang as AI Resistance: A Socio–Motivational Framework#148914
Record · ID 1178801
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive