Reverse Engineering Controller Area Network Messages Using Unsupervised Machine Learning

Reverse Engineering of Network Software Binary Codes for Identification of Syntax and Semantics of Protocol Messages

Reverse engineering of network applications especially from the security point of view is of high importance and interest. Many network applications use proprietary protocols which specifications are not publicly available. Reverse engineering of such applications could provide us with vital information to understand their embedded unknown protocols. This could facilitate many tasks including d...

ReFormat: Automatic Reverse Engineering of Encrypted Messages

Automatic protocol reverse engineering has recently received significant attention due to its importance to many security applications. However, previous methods are all limited in analyzing only plain-text communications wherein the exchanged messages are not encrypted. In this paper, we propose ReFormat, a system that aims at deriving the message format even when the message is encrypted. Our...

Parallel machine learning approaches for reverse engineering genome-scale networks

Srinivas Aluru School of Computational Science and Engineering Georgia Institute of Technology Reverse engineering whole-genome networks from large-scale gene expression measurements and analyzing them to extract biologically valid hypotheses are important challenges in systems biology. While simpler models easily scale to large number of genes and gene expression datasets, more accurate models...

Unsupervised Machine Learning

Using Unsupervised Learning for Network Alert Correlation

Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion Detection Systems. Typically, however, these modules require high levels of human involvement in creating the system and/or maintaining it, as patterns of attacks change as often as from month to month. We present an al...