Skip to main content

A package for random string detection

Project description

Random String Detector

Instalation

pip install random-string-detector

Examples

Example 1 - With Default Threshold (0.1)

from random_string_detector.random_string_detector import is_random_string

print(is_random_string("Home")) # False
print(is_random_string("Jdjfjfk")) # True

Example 2 - With Threshold Parameter

from random_string_detector.random_string_detector import is_random_string

print(is_random_string("Home", 0.1)) # False
print(is_random_string("Jdjfjfk", 0.1)) # True

Story behind

Using the fact that the expected number of 2-letter combinations in English is 676, and this includes combinations with identical letters and combinations with distinct letters, it is possible to use low-frequency bigrams in order to detect random strings of English letters.

As per Peter Norvig analysis, the most frequent bigram in English language is "th". On the other side, "zx" is not so common. By comparing the frequency of different bigrams in your text data to those in the English language corpus, you can identify strings of characters that do not fit typical language patterns.

Package contains a single method is_random_string(word, threshold). The first argument represents a string/word and the second argument represents threshold value between 0 and 100. Higher values represent more frequent bigrams (like "th") and lower values represent less frequent bigrams (like "zx").

Only strings with length greater than 4 are considered as well as strings which contain only English characters.

We happily accept any contributions and feedback. 😊

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

random_string_detector-0.0.7.tar.gz (15.4 kB view hashes)

Uploaded Source

Built Distribution

random_string_detector-0.0.7-py3-none-any.whl (12.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page