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afourney
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What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far...

Consider for example, that one knowns the plaintext "attack at d___". I for one would be reluctant to userely entirely on a language model to decide if I should ready my defences for "dawn" or "dusk".

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far...

Consider for example, that one knowns the plaintext "attack at d___". I for one would be reluctant to use a language model to decide if I should ready my defences for "dawn" or "dusk".

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far...

Consider for example, that one knowns the plaintext "attack at d___". I for one would be reluctant to rely entirely on a language model to decide if I should ready my defences for "dawn" or "dusk".

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

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afourney
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What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far... If you have an iPhone with iOS 8 or later

Consider for example, you can try it yourself by just repeatedly accepting the first word to be listed abovethat one knowns the keyboardplaintext "attack at d___". Here's what I get.

"hellofor one would be reluctant to my house body isuse a great day"language model to decide if I should ready my defences for "dawn" or "dusk".

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far... If you have an iPhone with iOS 8 or later, you can try it yourself by just repeatedly accepting the first word to be listed above the keyboard. Here's what I get.

"hello to my house body is a great day"

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far...

Consider for example, that one knowns the plaintext "attack at d___". I for one would be reluctant to use a language model to decide if I should ready my defences for "dawn" or "dusk".

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

added 15 characters in body
Source Link
afourney
  • 211
  • 1
  • 4

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far... If you have an iPhone with iOS 8 or later, you can try it yourself by just repeatedly accepting the first word to be listed above the keyboard. Here's what I get.

"hello to my house body is a great day"

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator)

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

What you propose is equivalent to trying to do cryptanalysis without any cipher text or other material.

Equivalently, you could just take the small plaintext seed that you know, and nothing else, and run it through a probabilistic language model to predict the most likely message. (e.g., a Markov chain text generator). Obviously, it doesn't get you very far... If you have an iPhone with iOS 8 or later, you can try it yourself by just repeatedly accepting the first word to be listed above the keyboard. Here's what I get.

"hello to my house body is a great day"

The key point here is that, all things being equal, access to the OTP-encrypted cipher text gives you no new information (beyond perhaps an upper bound on message length).

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afourney
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afourney
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