Malware programs currently represent the most serious threat to computer information
systems. Despite the performed efforts of researchers in this field, detection tools still have …

Malware detection is still a very challenging topic in the cybersecurity field. This is mainly
due to the use of obfuscation techniques. To solve this issue, researchers proposed to …

The ability to detect metamorphic malware has generated significant research interest over
recent years, particularly given its proliferation on mobile devices. Such malware is …

Malware classification is a vital component and works together with malware identification to
prepare the right and effective malware antidote. Current techniques in malware …

Smartphones and mobile devices are rapidly growing with their popularity as a part of global
infrastructure powered communication system. As mobile devices become ubiquitous, used …

Context: Malware is a variety of forms of hostile or intrusive software that being thrown
around online. Data analytics is the process of examining data sets in order to draw …

Current malware detection software often relies on machine learning, which is seen as an
improvement over signature-based techniques. Problems with a machine learning based …

ABSTRACT As of April 2019, Android was the most popular mobile operating system
amongst smartphone users [1]. Its high popularity, combined with the extended use of …

Agradecemos a todas las personas que estuvieron pendientes de nuestro desempeño
durante todos los años de Universidad, por el apoyo incondicional y por las palabras de …

Current malware detection software often relies on machine learning, which is seen as an
improvement over signature-based techniques. Problems with a machine learning based …