Projects

Letter Salad

Letter Salad

Letter Salad or Salad for short, is an efficient and flexible implementation of the well-known anomaly detection method Anagram by Wang et al.
Salad is based on n-gram models, that is, data is represented as all its substrings of length n. During training these n-grams are stored in a Bloom filter. This enables the detector to represent a large number of n-grams in little memory and still being able to efficiently access the data. Salad extends Anagram by allowing various n-gram types, a 2-class version of the detector for classification and various model analysis modes.

Salad can be utilized in various different fields of application. The concept underlying Salad was most prominently used for intrusion detection, but is not limited to this. The sources are distributed under the terms of the GPL-3 and is available from its Github repository or the project web page of Letter Salad.

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