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Machine Learning for Computer Security

Machine Learning for Computer Security

http://www.mlsec.org/

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Machine Learning for Computer Security | mlsec.org Reviews
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Machine Learning for Computer Security
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Machine Learning for Computer Security | mlsec.org Reviews

https://mlsec.org

Machine Learning for Computer Security

INTERNAL PAGES

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1

Sally - A Tool for Embedding Strings in Vector Spaces

http://www.mlsec.org/sally

A Tool for Embedding Strings in Vector Spaces. Sally – Home. A tool for embedding strings. Sally is a small tool for mapping a set of strings to a set of vectors. This mapping is referred to as embedding. And allows for applying techniques of machine learning and data mining for analysis of string data. Sally can be applied to several types of string data, such as text documents, DNA sequences or log files, where it can handle string data in directories, archives and text files. And n-grams of tokens.

2

Joern - A Robust Code Analysis Platform for C/C++

http://www.mlsec.org/joern

A Robust Code Analysis Platform for C/C. Joern – Home. An Intelligent Code Analysis Platform for C/C. Joern is a platform for robust analysis of C/C code. It generates code property graphs. Joern employs a fuzzy parser for C/C based on the concept of Island grammar. The parser enables importing arbitrary code even if a working build environment cannot be supplied or parts of the code are missing. Joern is developed by Fabian Yamaguchi. And the Joern team at the University of Göttingen.

3

Machine Learning for Computer Security

http://www.mlsec.org/impressum.html

Machine Learning and Computer Security Research. Institute of System Security. 38106 Braunschweig, Germany. Email: k.rieck@tu-bs.de. Web: www.tu-bs.de/sec. Icons by Pixel Mixer. Theme modified from StudioPress Theme.

4

Harry - A Tool for Measuring String Similarity

http://www.mlsec.org/harry

A Tool for Measuring String Similarity. Harry – Home. A Tool for Measuring String Similarity. Harry is implemented using OpenMP, such that the computation time for a set of strings scales linear with the number of available CPU cores. Moreover, efficient implementations of several similarity measures, effective caching of similarity values and low-overhead locking further speedup the computation. Harry complements the tool Sally. The following similarity measures for strings are supported by Harry:.

5

Malheur - Automatic Analysis of Malware Behavior

http://www.mlsec.org/malheur

Automatic Analysis of Malware Behavior. Malheur – Home. A novel tool for malware analysis. Malheur is a tool for the automatic analysis of malware behavior (program behavior recorded from malicious software in a sandbox environment). It has been designed to support the regular analysis of malicious software and the development of detection and defense measures. Malheur allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. Malheur automa...

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Marginally Interesting: October 2009

http://mikiobraun.blogspot.com/2009_10_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Monday, October 19, 2009. Machine Learning Feed Updates II. I’ve added a few more research blogs. Taken from Mark Reid’s kith. Natural language processing blog. By Hal Daume III. Justin Domke’s Weblog. Data Mining: Text Mining, Visualization and Social Media. Machine Learning for Computer Security. By my colleague Konrad Rieck. By Olivier Grisel (although he said he wanted to update everything about it in a long time). AI and Social Science. In that...

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Machine Learning for Computer Security

Open-source software and datasets. Developed by the research group of Konrad Rieck. This webpage revolves around machine learning and computer security. It provides a collection of open-source software and datasets that have been developed by the research group of Konrad Rieck. The group is currently working at TU Braunschweig. Where it forms the Institute of System Security. Mdash; A Robust Tool for Static Code Analysis. Yamaguchi et al., S&P 2014. Gascon et al., SC 2015. Malware Analysis and Detection.

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