Preventing Damage Before it Starts

June 12, 2014 / Melody Smith / Comments Off on Preventing Damage Before it Starts

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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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.