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 …

The cyber world is plagued with ever-evolving malware that readily infiltrate all defense
mechanisms, operate viciously unbeknownst to the user, and surreptitiously exfiltrate …

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 …

The prevalence of mobile platforms, the large market share of Android, plus the openness of
the Android Market makes it a hot target for malware attacks. Once a malware sample has …

The execution of malware in an instrumented sandbox is a widespread approach for the
analysis of malicious code, largely because it sidesteps the difficulties involved in the static …

The volume and the sophistication of malware are continuously increasing and evolving.
Automated dynamic malware analysis is a widely-adopted approach for detecting malicious …

Malware is one of the biggest security threats on the Internet today and deploying effective
defensive solutions requires the rapid analysis of a continuously increasing number of …

Malware researchers rely on the observation of malicious code in execution to collect
datasets for a wide array of experiments, including generation of detection models, study of …

Automated dynamic malware analysis systems are important in combating the proliferation
of modern malware. Unfortunately, malware can often easily detect and evade these …

Malware sandboxes, widely used by antivirus companies, mobile application marketplaces,
threat detection appliances, and security researchers, face the challenge of environment …