|DE NITTIS GIUSEPPE||Cycle: XXX |
Section: Computer Science and Engineering
Tutor: AMIGONI FRANCESCO Major Research topic
:S.P.E.C.I.A.L.: Surveilling and Patrolling Environments and Complex Infrastructures Against Lawbreakers
Advisor: GATTI NICOLAAbstract:
Physical security is one of the most important challenges of our times. Due to the terrible events happened in the last decades, e.g. on the 11th September 2001, new techniques and methods are being developed to face new threats and dangers. On the other side, security means also saving lives, e.g. detecting desperate migrants that are moving across the Mediterranean Sea and rescuing them. Game theory is a fundamental tool in these settings, allowing us to model situations with criminals, called Attackers, and guards, denoted as Defenders, as strategic form games in which the behaviors of such actors can be studied analyzed. The base case is the one in which there just one attacker and one defender, which can control some mobile resources. Starting from the awareness that complex infrastructures and open environments can be efficiently surveilled using sensors, we introduce them in the base case, modeling such devices as perfect. This approach is of high prominence in practice, since sensors can be cheap devices and can be deployed over the environment with high capillarity allowing for remarkable improvements of the protection performance. Then, for the first time in literature, we introduce intrinsic flaws, e.g. missed detection rates and false positives, to face and model real-life scenarios. The next step is the study of cases in which there are more defenders and attackers that could be either independent or can collaborate. This division raises two completely different problems, which are both significant and realistic. These results will give us the possibility to apply our algorithms not only in toy examples but in real-life scenarios. This approach is possible thanks to the collaborations with some private companies and with the Italian law enforcement agencies.