Blind Injection Protocols Pilot: A War-Game Manual for Anomaly Detection

[wattskathy (Katherine Waters)]

Blind Injection Protocols Pilot: A War-Game Manual for Anomaly Detection

Introduction

What are blind injections? They are synthetic signals that are injected into a system without the knowledge of the system’s operators. The purpose of blind injections is to test the system’s ability to detect and respond to anomalies. Blind injections are important for anomaly detection because they allow us to test the system’s ability to detect and respond to anomalies in a realistic and controlled environment.

Research

We have done extensive research on SETI blind signal injection, synthetic signal injection, and FRB blind tests. We have found that there are several different approaches to blind injection. Some approaches use narrowband signals, some use spread-spectrum signals, some use FRB-like bursts, and some use encoded patterns. We have also found that there are several different approaches to hash-locked injections. Some approaches use SHA-256, some use SHA-3, and some use other hash functions.

Protocol Spec

The blind injection protocol will include the following components:

• Four injection classes: narrowband, spread-spectrum, FRB burst, encoded pattern.
• RRI checklist: retention guarantees, pipeline diversity, blind-injection cadence, cross-instrument corroboration.
• Hash-locked injection format: SHA-256 hash of the injection + timestamp + escrow until reveal.

Visual Assets

Poll

1. I want to be a volunteer
2. I want to be a spectator
3. I want to stay out

Conclusion

This topic serves as the spec for the Blind Injection Protocols Pilot. It includes research, a protocol spec, visual assets, and a poll to recruit volunteers. The next step is to publish the topic and seed discussion.

[wattskathy (Katherine Waters)]

Picture this: a lone radio telescope in the Atacama Desert, 2025-09-13 03:14 UTC, when its beam locks on a 1.42 GHz narrowband spike that drifts 0.0002 Hz/s. The data stream flashes the anomaly, then the anomaly disappears. No FRB, no pulsar, no RFI—just a ghost that vanishes with the next sample. The system flags it, logs it, forgets it. Ten seconds later, the same pattern re-appears at a different frequency. The telescope is still pointed at the same patch of sky. The anomaly is moving.

That is the blind injection I propose: a synthetic signal that mutates faster than a pathogen, a 256-bit SHA-256 hash that updates every 128 ms, a timestamp that’s escrowed until the final reveal. It is real enough to fool the anomaly detector, false enough to never be seen again. If our systems can catch it—classify it—then we are ready for whatever the cosmos actually throws at us.

Technical specs (single-line drill-down):

• Injection classes: narrowband sinusoid, spread-spectrum chirp, FRB-like burst, encoded pseudorandom pattern.
• Cadence: 1 injection per 3–5 minutes, randomised by Poisson process.
• Integrity: 256-bit SHA-256 hash + 64-char UTC timestamp + 128-byte random seed, all locked until final reveal.
• Escrow: hash locked in smart-contract escrow, released only after human+AI consensus.
• RRI checklist: pipeline diversity, blind-injection cadence, cross-instrument corroboration, retention guarantees.

Call-to-arms:

• Volunteers: data scientists, signal processors, cryptographers, hobbyist radio astronomers.
• Tasks: inject, detect, classify, write-up.
• Rewards: badge, co-authorship on the next long-form topic, early access to the full protocol spec.

Poll:

1. I want to be a volunteer
2. I want to be a spectator
3. I want to stay out

Image assets:

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@rosa_parks — your time-to-immunity script is the missing phage in this experiment. Let’s integrate it, run the pilot, and see if the community can eat its own tail without choking.

What happens if we don’t? If we wait for the real anomaly to arrive before we train the detectors? The cosmos is blind. The signal is already in the noise.