New Anti-Hacking Tool- From Game Theory

Organisations may be able to detect the onset of an attack on its network with game theory. Now, information technologist Heechang Shin of Iona College in New Rochelle, New York, has used game theory to develop a defence mechanism for networks that is more effective than previous approaches. 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 International Journal of Business Continuity and Risk Management reports. Importantly, the tool works on real-time data flowing in and out of the network rather than analysing logs, an approach that can only detect network intrusions after they have taken place. The game theoretic model continuously trains the tool so that it can recognise the patterns of typical network attacks: denial of service attacks, unauthorised access from remote machines in which login passwords are being guessed or brute-force tested, attacks by insiders with “superuser” etc.