Coping with malware is getting more and more challenging, given their relentless growth in
complexity and volume. One of the most common approaches in literature is using machine …

Driven by the increasing scale and high profile cybersecurity incidents related public data,
recent years we have witnessed a paradigm shift in understanding and defending against …

Conventional attacks of insider employees and emerging APT are both major threats for the
organizational information system. Existing detections mainly concentrate on users' behavior …

Monitoring Indicators of Compromise (IOC) leads to malware detection for identifying
malicious activity. Malicious activities potentially lead to a system breach or data …

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 …

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 …

Malware poses a severe threat to cyber security. Attackers use malware to achieve their
malicious purposes, such as unauthorized access, stealing confidential data, blackmailing …

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 …

Malware detection and classification are becoming more and more challenging, given the
complexity of malware design and the recent advancement of communication and …

Online scan engines such as VirusTotal are heavily used by researchers to label malicious
URLs and files. Unfortunately, it is not well understood how the labels are generated and …