Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions

Understand

My research lies in the intersection of security and machine learning.

• This overview summarizes one component of my research: combining computer vision with malware exploit detection for enhanced security solutions.
• I will present the perspectives of efficacy, reliability and resiliency to formulate threat detection as computer vision problems and develop state-of-the-art image-based malware classification.
• Representing malware binary as images provides a direct visualization of data samples, reduces the efforts for feature extraction, and consumes the whole binary for holistic structural analysis.