It would be useful to have a global linked database of identifiable viruses in a semantic database which can be graphically tracked to identify vulnerabilities and shared methods for identification, detection, awareness, and prevention. Security vulnerabilities pose a big threat on the Internet. They can even be attached to semantic data as random noise. Once viruses are semantically represented they could then provide for richer context for artificial immunology. In almost all cases, Internet security software is left behind playing catch up leaving many vulnerabilities undetected. Semantic Web and Artificial Intelligence can play a big role in tackling many security issues both from view of identity protection as well as in the processing of data resources over the Internet.
