  False positives are equally dangerous as false negatives. Ideally the false
positive rate should remain 0 or very close to 0. Even a slightest increase in
false positive rate is considered as undesirable.
  Although the specific methods provide very accurate scanning by comparing
viruses with their exact signatures, they fail to detect the new and unknown
viruses. On the other hand the generic methods can detect even new viruses
without using virus signatures. But these methods are more likely to generate
false positives. There is a positive correlation between the capability to
detect new and unknown viruses and false positive rate.
  While a traditional approach tries to achieve a right balance between false
positives and false negatives a TRIZ approach looks forward to achieve the
Ideal Final Result. The Ideal final result is to 'detect and prevent viruses
with full certainty. The chances of error should be nil and the method should
not raise any false positive or false negative.' The article shows many
contradictions relating to false positives and their solutions.
