Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

With the huge services provided by machine learning systems in our daily life, the attacks on
these services are increasing every day. The attackers are trying to distort the functionality of …

Automatic authorship identification is a challenging task that has been the focus of extensive
research in natural language processing. Regardless of the progress made in attributing …

This article is the third paper in a series aimed at the establishment of the authorship of
Russian-language texts. This paper considers methods for determining the authorship of …

Authorship attribution (AA) is a field of natural language processing that aims to attribute text
to its author. Although the literature includes several studies on Arabic AA in general …

Purpose Classifying emails as ham or spam based on their content is essential. Determining
the semantic and syntactic meaning of words and putting them in a high-dimensional feature …

The advent of modern Internet of Things (IoT) architectures has led to ease in data collection
and availability. The data generated from such architectures are of large volume and …

Writing style in written language is a combination of consistent decisions associated with a
specific author at different levels of language production, including lexical, syntactic, and …

Consider a scenario where an author-eg, activist, whistle-blower, with many public writings
wishes to write" anonymously" when attackers may have already built an authorship …

Purpose For achieving the profitable human activity recognition (HAR) method, this paper
solves the HAR problem under wireless body area network (WBAN) using a developed …