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Exact(4)
The multiple User-Agents are typically similar per one cipher suite list.
Certainty represents the number of User-Agents per one cipher suite list.
The results show that in the event of unambiguous pairing, i.e., one User-Agent per one cipher suite list, the dictionary contained 104 unique pairs and covered only 6.3%% of all the measured HTTPS flows.
If we used up to 10 User-Agents per one cipher suite list, we were able to cover 66.0 % of all HTTP flows using 704 unique pairs with 253 unique cipher suite lists.
Similar(53)
We did not expect that the dictionary would provide an unambiguous translation of one cipher suite list to one User-Agent, but there would be one cipher suite list with more corresponding User-Agents and vice versa.
The last sub-task joins up the two blocks into one cipher text block and applies the final permutations.
As we already mentioned, multiple User-Agents were assigned to one cipher suite list, which caused ambiguity in the translation.
After decryption, Rabin cryptosystem gives four values of medical data plain text corresponding to one cipher text.
Both methods provided more User-Agents which correspond to one cipher suite list, i.e., a 1 n relation.
Every character is larger than life, including the non-sentient ones: a cipher Jinzhen tries to decode is "singularly freakish and malicious".
Here was a character that had gone from a one-dimensional cipher to an embodiment of the zeitgeist, equal parts hippie, hero, and rabble-rouser.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com