Identification of Reverse Engineering Candidates utilizing Machine Learning and Aircraft Cannibalization Data

Identification of Reverse Engineering Candidates utilizing Machine Learning and Aircraft Cannibalization Data

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...

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...

Reverse Engineering of Data

Identification Psychological Disorders Based on Data in Virtual Environments Using Machine Learning

Introduction: Psychological disorders is one of the most problematic and important issue in today's society. Early prognosis of these disorders matters because receiving professional help at the appropriate time could improve the quality of life of these patients. Recently, researches use social media as a form of new tools in identifying psychological disorder. It seems that through the use of...