Testing AI
in Smart Cities and
Communities
Service

Malware Analysis/Binary Diffing Service

Algorithm Creation & Validation Services
Spain
TEF Site
S2Grupo
TRL
1 to 3
Target Audience
Public institutions, municipalities, cities, AI innovators, researchers, critical infrastructures and all kind of organizations involved in the project.
Service Deliverable
This service and tool will allows to the CITCOM collaborators to identify, classify, and attribute malware threats with high precision using models such as Random Forest, which is effective in detecting malware through static feature classification. The CITCOM collaborators would be able to check potential infected files through this tool.