DYNAMIC FEATURE SELECTION FOR WEB USER IDENTIFICATION ON LINGUISTIC AND STYLISTIC FEATURES OF ONLINE TEXTS

DYNAMIC FEATURE SELECTION FOR WEB USER IDENTIFICATION ON LINGUISTIC AND STYLISTIC FEATURES OF ONLINE TEXTS

The paper deals with identification and authentication of web users participating in the Internet information processes (based on features of online texts).In digital forensics web user identification based on various linguistic features can be used to discover identity of individuals, criminals or...

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Bibliographic Details
Main Author: A. A. Vorobeva
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2017-01-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
web user identification
forensic linguistics
information security
Online Access:http://ntv.ifmo.ru/file/article/16414.pdf

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