Microsoft and Intel turn malware into photos to support plot more threats

STAMINA has proven largely effective up to now, with factual over 99 percent accuracy in classifying malware and a untrue certain payment a bit below 2.6 percent. Nonetheless, it has its limits. It works nicely with small recordsdata, but it if truth be told struggles with bigger ones.

With ample refinement, despite the indisputable fact that, this could per chance presumably well also be very precious. Most malware detection depends on extracting binary signatures or fingerprints, however the sheer quantity of signatures makes that impractical. This could presumably well per chance support anti-malware tools effectively preserve and reduce the possibilities of safety threats slipping past defenses.

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