Malware analysis aims to understand how malicious software carries out actions necessary
for a successful attack and identify the possible impacts of the attack. While there has been …

The ever-increasing number of malware families and polymorphic variants creates a
pressing need for automatic tools to cluster the collected malware into families and generate …

Malware classification is a difficult problem, to which machine learning methods have been
applied for decades. Yet progress has often been slow, in part due to a number of unique …

As the malware research field became more established over the last two decades, new
research questions arose, such as how to make malware research reproducible, how to …

During the past decade, botnets have become one of the most significant threats in the field
of network security. A botnet attack typically works by infecting a device with malware and …

To automate malware analysis, dynamic malware analysis systems have attracted
increasing attention from both the industry and research communities. Of the various logs …

A critical challenge when combating malware threat is how to efficiently and effectively
identify the targeted victim's environment, given an unknown malware sample …

With the wide usage of smartphones in our daily life, new malware is emerging to
compromise the mobile OS and then steal or manipulate sensitive data from mobile …

(Continued) Primary Examiner Kari L Schmidt (74) Attorney, Agent, or Firm-Polsinelli PC
(57) ABSTRACT Systems, methods, and computer-readable media for assur ance of rules in …

Malware analysis tools have evolved in the last years providing tightly controlled sandbox
and virtualised environments where malware is analysed minimising potential harmful …