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May 26, 2026Open Access

Neurosecurity Encryption Frameworks for Brain-Computer Interfaces (BCIs)

Key Points

The manuscript aims to propose a theoretical neurosecurity framework for brain-computer interfaces (BCIs) to enhance security against various risks.
Introduced a layered Neurosecurity Stack (NSS) composed of Gamma-Wave Dynamic Encryption (GWDE), Cognitive Firewall System (CFS), and Neural Continuity Assurance (NCA) to address BCI security risks.
Identified specific security threats including neural data interception, cognitive biometric theft, and adversarial stimulus injection.
Developed a theoretical model to establish foundational concepts for neurosecurity in BCIs.
Addressed key security risks associated with BCIs to mitigate potential threats to neural data security.
Outlined strategies for preventing cognitive biometric theft and adversarial attacks.
Provided a conceptual framework for future research and development in neurosecurity for BCIs.

Abstract

This independent research manuscript proposes a theoretical neurosecurity framework for Brain-Computer Interfaces (BCIs), titled “Gamma-Wave Dynamic Encryption and Cognitive Firewalling for Brain-Computer Interfaces: A Theoretical Neurosecurity Framework.” The paper introduces a layered Neurosecurity Stack (NSS) composed of Gamma-Wave Dynamic Encryption (GWDE), Cognitive Firewall System (CFS), and Neural Continuity Assurance (NCA). The framework is designed to address emerging BCI security risks including neural data interception, cognitive biometric theft, adversarial stimulus injection, neurophishing, decoder poisoning, firmware compromise, and man-in-the-brain style attack scenarios. This manuscript is released as Version 1.0, Research-Grade Theoretical Framework Edition, authored independently by Anant Bhardwaj in May 2026.

Neurosecurity Encryption Frameworks for Brain-Computer Interfaces (BCIs)

Key Points

Abstract

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