› Forums › Personal Topics › Unbidden Thoughts › Secure Text/Keys in Unsecure Environments
This topic contains 3 replies, has 1 voice, and was last updated by
josh February 26, 2021 at 3:35 am.
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February 6, 2021 at 2:00 pm #82604

joshMy experience with Deep State surveillance indicates that they have intensely developed expertise in the area of detecting “thoughts” via micro-mouth movements & motor cortical planning signals that are associated with overtly vocal production of the same speech elements in the same individual. This ability provides a caution against reliance on an “unseen screen” for security as it can be a very leaky channel. On the other hand, the unseen screen protocol described is helpful because it introduces a lot of abnormal noise into the text cognition process & it is relatively easier to train someone to generate confounding masking during the spans when they are consciously creating secret text.
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February 6, 2021 at 2:02 pm #82606

joshresume says he was enslaved in a govt. only hidden location
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February 26, 2021 at 3:35 am #84694

joshYesterday I was looking at recent cryptography publications. The people I pick to list are mostly just the ones with friendly key text from the POV of GT fit. Among the general community though, I noticed many commenting on leaks of my method/source code for this. Some of them thought that the basic idea of the improved RNG generation using true randomness from the ongoing process itself was a valuable innovation for RNG & cryptography due to the combination of true randomness, cryptographic soundness from the POV of hardness to invert given only external observations, & computational efficiency.
Some noted that timing of typed keystrokes & movement/sound associated with that can be an informative signature. My keyboard, was hunt & peck compared to regular typing, but 1 would get better at it over time & the gap between eye movements & mechanical press could still be patterned if observed.
Pattern recognition based on regular typing of familiar text was proposed as a kind of ready biometric that could be rolled into multi-factor authentication along with others.
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