Malware is the bane of any user’s existence. It harms everyone from the most naive to the competent techy guru.

Danfeng (Daphne) Yao, associate professor of computer science at Virginia Tech College of Engineering, and colleagues have developed the first workable proactive system to detect malware in individual computers or in networks before any damage can be done. Examiner brought this news to us in their article, “Malware protection based on semantics proves successful.”

The problem with the majority of present malware detection systems is its hindsight. The new program is the first malware protection program that can actively detect malware before it installs itself. This also can prevent an infected computer from contaminating the rest of a network. Using the history of the user and the network, the semantics based program determines if there is basis for a relationship and determining if the activity is foreign and potentially harmful. Way to go semantics, and Dr. Yao.

Melody K. Smith

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