Now to predict email viruses under uncertainty
InSeon Yoo, Ulrich Ultes‐Nitsche · 2004
We try to answer these questions in this paper; how to detect email viruses without signatures?, how to determine the probability whether the mail is abnormal?, and how can we detect virus patterns in an infected file 'I. In order to find out relations be. tween email viruses and detectable knowledge, we anal ysed propagation of email viruses and chamcteristics of email viruses, studied infected files' structures and applied Bayesian networks and Self-Organizing Maps to adaptive detection against email viruses.