How can an organization detect the onset of an attack on its computer  network giving it time to respond quickly and block any intrusion or  compromise of its data? Modern firewalls and other technology are  already in place, but these have not prevented major attacks on  prominent networks in recent months. Now, information technologist  Heechang Shin of Iona College in New Rochelle, NY, has used game theory  to develop a defense mechanism for networks that is more effective than  previous approaches.
Writing in the International Journal of Business Continuity and Risk Management,  Shin explains that with the tremendous growth in numbers of computing  and other devices connected to networks, information systems security  has become an issue of serious global concern. He points out that each  incident might not only cause significant disruption to services  affecting many thousands of people but for a commercial operation can  take as much as 1 percent of annual sales, per incident. That number  amounts to tens of millions of dollars for the average publicly listed  company, Shin says.
Shin has now developed an effective anti-hacking tool based on a game  theoretic model, called defensive forecasting, which can detect network  intrusions in real time. The tool, by playing a "game" of reality  versus forecast, wins when reality matches its forecast and it sends out  an alert to block the intrusion.
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