Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …

Malware has been one of the most damaging threats to computers that span across multiple
operating systems and various file formats. To defend against ever-increasing and ever …

Security breaches due to attacks by malicious software (malware) continue to escalate
posing a major security concern in this digital age. With many computer users, corporations …

To build effective malware analysis techniques and to evaluate new detection tools, up-to-
date datasets reflecting the current Android malware landscape are essential. For such …

To subvert recent advances in perimeter and host security, the attacker community has
developed and employed various attack vectors to make a malware much stealthier than …

For the past two decades, the security community has been fighting malicious programs for
Windows-based operating systems. However, the recent surge in adoption of embedded …

We describe and release an open PE malware dataset called BODMAS to facilitate research
efforts in machine learning based malware analysis. By closely examining existing open PE …

VirusTotal provides malware labels from a large set of anti-malware engines, and is heavily
used by researchers for malware annotation and system evaluation. Since different engines …

Hardware Performance Counters (HPCs) have been available in processors for more than a
decade. These counters can be used to monitor and measure events that occur at the CPU …

Our current defenses against IoT malware may not be adequate to remediate an IoT
malware attack similar to the Mirai botnet. This work seeks to investigate this matter by …