According to the recent studies, malicious software (malware) is increasing at an alarming
rate, and some malware can hide in the system by using different obfuscation techniques. In …

Although malicious software (malware) has been around since the early days of computers,
the sophistication and innovation of malware has increased over the years. In particular, the …

In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …

In this paper, we propose a deep learning framework for malware classification. There has
been a huge increase in the volume of malware in recent years which poses a serious …

Internet of Things (IoT) in military settings generally consists of a diverse range of Internet-
connected devices and nodes (eg, medical devices and wearable combat uniforms). These …

Attackers often create systems that automatically rewrite and reorder their malware to avoid
detection. Typical machine learning approaches, which learn a classifier based on a …

In this paper, we propose a new multi-task, deep learning architecture for malware
classification for the binary (ie malware versus benign) malware classification task. All …

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 …

Text mining has found a variety of applications in diverse domains. Of late, prolific work is
reported in using text mining techniques to solve problems in financial domain. The …

Malicious software, or malware, continues to be a problem for computer users, corporations,
and governments. Previous research [1] has explored training file-based, malware …