Over the past few decades, researchers have put their effort and paid significant attention to
the authorship attribution field, as it plays an important role in software forensics analysis …

Authorship classification is a method of automatically determining the appropriate author of
an unknown linguistic text. Although research on authorship classification has significantly …

Authorship verification is a crucial process employed to determine the authorship of a given
text by analyzing distinct aspects of the writer's style, such as vocabulary, syntax, and …

Binary code traceability aims to use the relevant characteristics of anonymous binary codes
to identify concealed authors or teams and replace error-prone and time-consuming manual …

Abstract Source Code Authorship Attribution is a problem that is lately studied more often
due improvements in Deep Learning techniques. Among existing solutions, two common …

The problem of source code authorship attribution is crucial for a few reasons. Security and
legal issues are the most popular ones. However, this domain could also help to understand …

Identification of source code authorship is vital for attribution. In this work, a machine
learning framework is described to identify source code authorship. The framework …

Code authorship attribution aims to identify the author of software source code according to
the author's unique coding style characteristics. The lack of benchmark data in the field …

In an era where cyberattacks increasingly target the software supply chain, the ability to
accurately attribute code authorship in binary files is critical to improving cybersecurity …

Authorship attribution aims to identify the origin or author of a document. Traditional
approaches have heavily relied on manual features and fail to capture long-range …