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Improving Relevance Effectiveness in Data Leakage Detection Using Feature Selection

Authors:
Adrienn Skrop

Keywords: data leakage; vector space model; feature selection

Abstract:
Data leakage is an uncontrolled or unauthorized transmission of classified information to the outside. Many software solutions were developed to provide data protection. However, none of them can provide absolute protection. The purpose of the research is to design and implement DATALEAK, a data leakage detection system based on information retrieval models and methods. In this paper, a feature selection based information retrieval model is proposed to improve relevance effectiveness of DATALEAK. The paper focuses on dimensionality reduction, where semantic matching of documents is performed in the reduced form of the vector space model.

Pages: 14 to 16

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-415-2

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2015