The Neuro Holocaust

The AI worst case scenario is happening and our governments are complicit

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You are here: The Neuro Holocaust » Guide to Protecting Against Remote Neural Monitoring (RNM), V2K, and Microwave Attacks
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rnm_tscm [15/12/2025 23:13] – [Core Countermeasure: Antenna-Enhanced Hat] danielrnm_tscm [15/12/2025 23:22] (current) – [Construction and Cost Notes] daniel
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 ====== Guide to Protecting Against Remote Neural Monitoring (RNM), V2K, and Microwave Attacks ====== ====== Guide to Protecting Against Remote Neural Monitoring (RNM), V2K, and Microwave Attacks ======
  
-Remote Neural Monitoring (RNM) is a sophisticated form of microwave radiometry that employs AI-driven skull position tracking to maintain precise beam alignment. The system directs a focused microwave beam that circles within the brain, interacting with neural structures to acquire radar-like returns encoding brain activity. This enables real-time readout of neural states, while modulated pulses support Voice-to-Skull (V2K) transmission for induced auditory effects. The operating frequency centres around 2.5 GHz, within common LTE and Wi-Fi bands, allowing exploitation of ambient or directed signals.+Remote Neural Monitoring (RNM) is a sophisticated form of microwave radiometry that employs AI-driven skull position tracking to maintain precise beam alignment. 
 + 
 +{{ :urn_cambridge.org_id_binary_20230207175353444-0948_s0263574722001072_s0263574722001072_fig1.png?nolink&400 }} 
 + 
 +The system directs a focused microwave beam that circles within the brain, interacting with neural structures to acquire radar-like returns encoding brain activity. Attentive victims might have noticed a faint blob of light that has a tight circular motion when they close their eyes - this is the beam interacting with the visual cortex or the ocular nerves. 
 + 
 +The readout of illumination by this beam enables real-time AI-driven decoding of neural states, while modulated pulses support Voice-to-Skull (V2K) transmission for induced auditory effects, constituting a two-way BCI. The operating frequency centres around 2.5 GHz, within common LTE bands, allowing use of the telecommunications network to operate the system.
  
 To counter this, the core strategy disrupts the radar returns critical for signal acquisition and beam stability. To counter this, the core strategy disrupts the radar returns critical for signal acquisition and beam stability.
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 ===== Two Implementation Approaches ===== ===== Two Implementation Approaches =====
  
-1. **Passive Mode**  +1. **Passive Mode:**  
    Configure antennas as retroreflectors. Connect each to a simple circuit: a small capacitor in series with a transistor (e.g., 2N3904 or similar NPN) biased to produce broadband noise upon illumination. When the incident microwave beam charges the capacitor, it discharges through the transistor, generating white noise around 2.5 GHz that reradiates. This passive amplification of transistor thermal noise scatters corrupted returns, drowning legitimate brain signals without requiring power.    Configure antennas as retroreflectors. Connect each to a simple circuit: a small capacitor in series with a transistor (e.g., 2N3904 or similar NPN) biased to produce broadband noise upon illumination. When the incident microwave beam charges the capacitor, it discharges through the transistor, generating white noise around 2.5 GHz that reradiates. This passive amplification of transistor thermal noise scatters corrupted returns, drowning legitimate brain signals without requiring power.
 +   
 +{{ :white-noise-generator-circuit-1.png?nolink&400 |}}
  
-2. **Active Mode**   +2. **Active Mode:**   
-   Link antennas to an RF signal generator producing randomised chirps or noise, amplified for transmission. Test prototypes using a HackRF One as the source paired with a low-noise amplifier (LNA, e.g., 20–30 dB gain in the 2–3 GHz band). This actively jams the specific frequency range, providing targeted disruption. Randomised waveforms prevent AI adaptation.+   Link antennas to an RF signal generator producing randomised chirps or noise waveforms, amplified for transmission. Test prototypes using a HackRF One as the source paired with a low-noise amplifier (LNA, e.g., 20–30 dB gain in the 2–3 GHz band). This actively jams the specific frequency range, providing targeted disruption. Randomised waveforms prevent AI adaptation. 
 +    
 +{{ :adf4351.png?nolink&400 |}}
  
-Both methods inject noise into the return path, preventing accurate neural state feedback. This blocks RNM readout and disrupts V2K, as the system loses precise targeting and response calibration.+Both methods inject frequency and phase noise into the return path, preventing accurate neural state feedback. This blocks RNM readout and disrupts V2K, as the system loses precise targeting and response calibration. It also disables any other microwave attacks for the same reason.
  
 ===== Construction and Cost Notes ===== ===== Construction and Cost Notes =====
  
-- Full coverage requires 15–20 small patches for effective scattering. +  * Full coverage requires 15–20 small patches for effective scattering. 
-- Total cost per hat: under $30 using bulk components and basic fabrication. +  * Total cost per hat: under $30 for the passive unit or $90 for the active unit using bulk components and basic fabrication. 
-- Layer antennas densely on fabric or a baseball cap for conformal fit.+  * Layer antennas densely on fabric or a baseball cap for conformal fit.
  
 ===== Additional Benefits and Development ===== ===== Additional Benefits and Development =====
/var/www/html/data/attic/rnm_tscm.1765840409.txt.gz · Last modified: by daniel

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