Tools and libraries for visual network traffic analysis
Starting from this section, we’ll present our tools and libraries for AI projects for the analysis of Android applications and concentrate on anomaly network traffic analysis and malware detection. Since typical AI projects mostly focus on computer vision and NLP, we will select topics relevant to visual network traffic analysis and instruction-embedding-based malware detection as our AI projects. In those projects, we’ll use methods inspired by computer vision and NLP, but we’ll use them in the cybersecurity context.
Background of visual network traffic analysis
In the global landscape, Android stands as the predominant mobile operating system, a position that consequently attracts a myriad of cyber adversaries. Such malicious actors employ pernicious applications to compromise mobile devices, subsequently facilitating a spectrum of illicit activities. These encompass the dissemination of unsolicited...
