Description:

Letter Salad or Salad for short, is an efficient and flexible implementation of the well-known anomaly detection method Anagram by Wang et al. (RAID 2006).

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.

Changes to previous version:

Support for processing network dumps and capturing packets and streams directly from network interfaces. Furthermore we integrated unit tests, established a logging infrastructure for more consistent output and fixed various bugs.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Unix, Posix, Mac Os X

Data Formats: Binary, Txt

Tags: Sequence Analysis, Sparse Learning

Archive: download here

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