Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; Third International Ana Fred,Jan L. G. Dietz,Joaquim Filipe Conferenc

HATCH

Learning Attack Features from Static and Dynamic Analysis of Malwarection length frequency, printable string information, byte sequences, API calls, etc. Some works also applied dynamic analysis using features such as function call arguments, returned values, dynamic API call sequences, etc. In this work, we applied a reverse engineering process to extract static an

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RAG

Lineage

Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Contentof class labels. The learnt classifier isolates each class by the content and structural regularities observed within the respective labeled XML documents and, thus, allows to predict the unknown class of unlabeled XML documents by looking at their content and structural features. The classification

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