NetText

A text-based data format for cryptographic network protocols.

Principles

• Only uses a limited subset of ASCII characters
• Has a minimal set of fundamental data types
• Retains the raw representation of complex data structures for hashing and cryptographic signing
• Minimal value data type: a string type that can only be used to represent identifiers, numbers and base64-encoded byte strings.

Fundamental types

A term can be of any of the following kinds:

• a string, which may contain only ASCII alphanumeric terms and .-_*?
• a dict, which maps strings (as defined above) to any term type
• a list, which may contain any number of any kind of terms (can be mixed)
• a sequence, consistuted of at least two of the above (can be mixed), simply separated by whitespace; sequences cannot be nested

Dicts are represented as follows:

{
    key1 = value1,
    key2 = value2
}

Dicts are represented as follows:

[ term1, term2 ]

Sequences are represented as follows:

term1 term2 term3

As a consequence, complex data structures can be defined as follows:

SEND MESSAGE {
    topic = blah,
    to = [
        TOPIC hello,
        USER john
    ],
    body = blah blah
}

The raw representation of a parsed dict or sequence is retained for hashing purposes. It in the sequence of bytes, in the encoded string, trimmed from whitespace at extremities, that represents the encoded dict or sequence in that string.

In the complex stance example above, here are the sequence and dicts and their raw representation:

• the toplevel term is a sequence, whose raw representation is the entire encoded string (assuming no whitespace at beginning or end)
• the third term of the sequence is a dict, whose raw representation starts at { and ends at }
• the second mapping of the dict is a list, whose raw representation starts at [ and ends at ]
• the third mapping of the dict is a sequence, whose raw representation is exactly blah blah.

Since strings cannot contain whitespace, they are always equivalent to their raw representation.

Structural mappings

Terms can be interpreted in a number of different ways, depending on the context:

• RAW: the term is interpreted as its raw encoding (see above)
• STRING: if the term is a string or a sequence composed exclusively of strings, the term is interpreted as its raw encoding
• VARIANT: if the term is a sequence whose first item is a string, it is interpreted as a variant with the following properties:
  • a discriminator (the first item)
  • a value, which is either the second item in case there are only two items, or the sequence composed of all items starting from the second if there are more than two
• DICT: if the term is a dict, interpret it as such
• LIST: if the term is a list, interpret it as such
• SEQ: if the term is a string, a list, or a dict, interpret it as a sequence composed of that single term. Otherwise, the term is a sequence, interpret it as a sequence of terms.

Data mappings

Terms further have mappings as different data types:

• BYTES: if the term maps as a STRING, decode it using base64
• INT: if the term maps as a STRING, decode it as an integer written in decimal notation
• HASH, PUBKEY, SECKEY, SIGNATURE, ENCKEY, DECKEY, SYMKEY: a bunch of things that interpret BYTES as specific cryptographic items