Low-resource malware families are highly susceptible to being overlooked when using machine learning models or deep for automated detection because of the small amount data samples. When we target train a classifier low-resource family, training family itself is not sufficient good classifier. In this work, study relationship between different and improve performance model based on method in de...

In this paper we describe novel ideas and their prototypical implementation for the visualization of rule bases. In the creation of the visualization our approach considers not only the structure of a rule base but also records of its usage. We also discuss methods to address the challenges for visualization tools posed by rule bases that are large, created with high level knowledge acquisition...

A capacity for analogy is an excellent acid test for the quality of a knowledge-base. A good knowledge-base should be balanced and coherent, so that its high-level generalities are systematically reflected in a variety of lower-level specializations. As such, we can expect a rich, well-structured knowledge-base to support a greater diversity of analogies than one that is imbalanced, disjoint or...

A major need of precision-oriented retrieval systems is the availability of high-level indexing languages which can allow the representation and the manipulation of elaborated concepts for both indexing and querying processes. Such elaborated knowledge representations, as the one developed in the RIME project, need in turn to be fully integrated within the underlying retrieval model to ensure p...

This article shows how CGLF, CGIF, KIF, Formalized-English and Frame-CG can be used in a panorama of knowledge representation cases. It highlights various inadequacies of CGLF and CGIF, advantages provided by high-level expressive notations, and the KIF translations provide a logical interpretation. Knowledge providers may see this document as a guide for knowledge representation. Developers ma...

Research in the field of knowledge representation system is usually focused on methods for providing high-level descriptions of the world that can be effectively used to build intelligent applications. This paper shares the development process of an ontology which involves preparing questionnaires, design decisions, and interviewing key persons. This is an ongoing work resulting in the developm...