Binary code similarityapproaches compare two or more pieces of binary code to identify their
similarities and differences. The ability to compare binary code enables many real-world …

Software obfuscation has always been a controversially discussed research area. While
theoretical results indicate that provably secure obfuscation in general is impossible, its …

While deep learning has shown a great potential in various domains, the lack of
transparency has limited its application in security or safety-critical areas. Existing research …

Dynamic taint analysis and forward symbolic execution are quickly becoming staple
techniques in security analyses. Example applications of dynamic taint analysis and forward …

Malicious software–so called malware–poses a major threat to the security of computer
systems. The amount and diversity of its variants render classic security defenses ineffective …

Code obfuscation is widely used by software developers to protect intellectual property, and
malware writers to hamper program analysis. However, there seems to be little work on …

This paper introduces AMAL, an automated and behavior-based malware analysis and
labeling system that addresses shortcomings of the existing systems. AMAL consists of two …

Malware have been one of the biggest cyber threats in the digital world for a long time.
Existing machine learning based malware classification methods rely on handcrafted …

The sheer volume of new malware found each day is growing at an exponential pace. This
growth has created a need for automatic malware triage techniques that determine what …

Malicious software are usually obfuscated to avoid detection and resist analysis. When new
malware is encountered, such obfuscations have to be penetrated or removed (" …