作者: David M. Chess , Gregory B. Sorkin , Gerald J. Tesauro , Jeffrey O. Kephart , William C. Arnold
DOI:
关键词: Immune system 、 Artificial intelligence 、 Intelligent agent 、 Artificial neural network 、 IBM 、 Computer virus 、 Virus 、 Human–computer interaction 、 Computer science
摘要: Today's anti-virus technology, based largely on analysis of existing viruses by human experts, is just barely able to keep pace with the more than three new computer that are written daily. In a few years, intelligent agents navigating through highly connected networks likely form an extremely fertile medium for breed viruses. At IBM, we developing novel, biologically inspired antivirus techniques designed thwart both today's and tomorrow's Here describe two these: neural network virus detector learns discriminate between infected uninfected programs, immune system identifies viruses, analyzes them automatically, uses results its detect remove all copies present in system. The neural-net technology has been incorporated into IBM's commercial product; prototype.