Malware still constitutes a major threat in the cybersecurity landscape, also due to the
widespread use of infection vectors such as documents. These infection vectors hide …

The detection and classification of programming languages and file formats are crucial in a
variety of contexts, such as software analysis, code management, and cybersecurity. Despite …

Over the years, Portable Document Format (PDF) has become the most popular content
presenting format among users due to its flexibility and easy-to-work features. However …

Machine learning classifiers are a vital component of modern malware and intrusion
detection systems. However, past studies have shown that classifier based detection …

Abstract Machine learning algorithms are widely used for cybersecurity applications, include
spam, malware detection. In these applications, the machine learning model has to face …

Office documents are used extensively by individuals and organizations. Most users
consider these documents safe for use. Unfortunately, Office documents can contain …

In 2018, with the internet being treated as a utility on equal grounds as clean water or air, the
underground malicious software economy is flourishing with an influx of growth and …

Applying machine learning techniques to malware detection is a common approach to try to
overcome the limitations of signature-based methods. However, it is difficult to engineer a …

With the increasing variants of malware, it is of great significance to detect malware and
ensure system security effectively. The existing malware dynamic detection methods are …

As it continues to proliferate, malware has shown increasing sophistication, and PDF
malware is a major threat on the cybersecurity landscape. We provide an overview of current …