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  2. Bitstream Cyberbit - Wikipedia

    en.wikipedia.org/wiki/Bitstream_Cyberbit

    Bitstream Cyberbit is a commercial serif Unicode font designed by Bitstream Inc.It is freeware for non-commercial uses. It was one of the first widely available fonts to support a large portion of the Unicode repertoire.

  3. IDN homograph attack - Wikipedia

    en.wikipedia.org/wiki/IDN_homograph_attack

    An example of an IDN homograph attack; the Latin letters "e" and "a" are replaced with the Cyrillic letters "е" and "а".The internationalized domain name (IDN) homograph attack (sometimes written as homoglyph attack) is a method used by malicious parties to deceive computer users about what remote system they are communicating with, by exploiting the fact that many different characters look ...

  4. Correlation attack - Wikipedia

    en.wikipedia.org/wiki/Correlation_attack

    This means the Geffe generator is a very weak generator and should never be used to generate stream cipher keystreams. Note from the table above that agrees with the generator output 4 times out of 8—a 50% correlation. We cannot use this to brute force LFSR-1 independently of the others: the correct key will yield output that agrees with the ...

  5. Ciphertext - Wikipedia

    en.wikipedia.org/wiki/Ciphertext

    The Zimmermann Telegram (as it was sent from Washington to Mexico) encrypted as ciphertext. KGB ciphertext found in a hollow nickel in Brooklyn in 1953. In cryptography, ciphertext or cyphertext is the result of encryption performed on plaintext using an algorithm, called a cipher. [1]

  6. Customize your signature in AOL Mail

    help.aol.com/articles/customize-your-siganture...

    Text color - reinforce your brand identity or express your playfulness. Font - choose the type and size of the text. Image - add your favorite image and make your signature stand out. More text options - change alignment, indent or make a list.

  7. Homoglyph - Wikipedia

    en.wikipedia.org/wiki/Homoglyph

    From here, a single token is specified to represent the homoglyph set. This token is called a canon. The next step is to convert each character in the text to the corresponding canon in a process called canonicalization. If the canons of two runs of text are the same but the original text is different, then a homoglyph exists in the text.