Abstract Portable Document Format (PDF) is a file format created to create portable and
printable documents across platforms. PDF files are one of the most widely used application …

With the increasing number of malicious PDF files used for cyberattacks, it is essential to
develop efficient and accurate classifiers to detect and prevent these threats. Machine …

The widespread use of Portable Document Format (PDF) files has created an ideal
environment for the proliferation of malicious PDFs, posing a significant threat to information …

In this digital system, the data is transferred through online in the several form. Safety
measures are employed in critical places like healthcare, banks, etc. Nowadays the …

In recent years, the increasing prevalence of malicious PDF files has become a major
cybersecurity concern. Despite advances in machine learning-based detection methods …

Due to high versatility and widespread adoption, PDF documents are widely exploited for
launching attacks by cyber criminals. PDFs have been conventionally utilized as an effective …

This paper presents a comprehensive approach to PDF malware detection, addressing the
serious threat posed by malicious PDF documents. Traditional machine learning (ML) …

In many practical and security-critical formats, the interpretation of a document segment as a
Document Object Model (DOM) graph depends on a concept of reference and complex …

The massive use of Microsoft Office documents underscores the need for effective malicious
document detection techniques. Most detection methods characterize document behavior …

With the widespread use of the Portable Document Format (PDF), it has increasingly
becoming a target for malware, highlighting the need for effective detection solutions. In …