Project details for Salad

Screenshot Salad 0.4.2

by chwress - December 25, 2013, 08:00:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

view (1 today), download ( 0 today ), 1 subscription


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:

Fixes a bug in the unit testing framework on Windows

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Windows, Unix, Posix, Mac Os X
Data Formats: Binary, Txt
Tags: Sequence Analysis, Sparse Learning
Archive: download here

Other available revisons

Version Changelog Date

Fixes a bug in prediction mode for the use of archives when -DUSE_NETWORK=ON

August 11, 2014, 11:16:49

Fixes a bug in the unit testing framework on Windows

December 25, 2013, 08:00:12

Fixes a critical bug that rendered the 0.4.0 release pretty much unusable

December 17, 2013, 16:05:06

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.

November 28, 2013, 16:13:40

Initial Announcement on

October 15, 2013, 11:00:26


No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.